Sausa, E., Rajmic, P., & Hlawatsch, F. (2024). Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0. Signal Processing, 215, Article 109259. https://doi.org/10.1016/j.sigpro.2023.109259 ( reposiTUm)

Kropfreiter, T., Meyer, F., Crouse, D., Coraluppi, S., Hlawatsch, F., & Willett, P. (2024). Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation Methods. IEEE Open Journal of Signal Processing, 5, 1089–1106. https://doi.org/10.1109/OJSP.2024.3451167 ( reposiTUm)

Gaglione, D., Braca, P., Soldi, G., Meyer, F., Hem, A. G., Brekke, E., & Hlawatsch, F. (2023). Comments on “Variations of Joint Integrated Data Association with Radar and Target-Provided Measurements.” Journal of Advances In Information Fusion, 18(2), 93–101. https://doi.org/10.34726/7039 ( reposiTUm)

Gaglione, D., Braca, P., Soldi, G., Meyer, F., Hlawatsch, F., & Win, M. (2022). Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking. IEEE Transactions on Signal Processing, 70, 322–336. https://doi.org/10.34726/3510 ( reposiTUm)

Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2022). An Efficient Labeled/Unlabeled Random Finite Set Algorithm for Multiobject Tracking. IEEE Transactions on Aerospace and Electronic Systems, 58(6), 5256–5275. https://doi.org/10.34726/3502 ( reposiTUm)

Koliander, G., El-Laham, Y., Djurić, P. M., & Hlawatsch, F. (2022). Fusion of Probability Density Functions. Proceedings of the IEEE, 110(4), 404–453. https://doi.org/10.34726/3509 ( reposiTUm)

Li, T., & Hlawatsch, F. (2021). A Distributed Particle-PHD Filter Using Arithmetic-Average Fusion of Gaussian Mixture Parameters. Information Fusion, 73, 111–124. https://doi.org/10.1016/j.inffus.2021.02.020 ( reposiTUm)

Gaglione, D., Soldi, G., Meyer, F., Hlawatsch, F., Braca, P., Farina, A., & Win, M. Z. (2020). Bayesian information fusion and multitarget tracking for maritime situational awareness. IET Radar, Sonar and Navigation, 14(12), 1845–1857. https://doi.org/10.1049/iet-rsn.2019.0508 ( reposiTUm)

Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2020). A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 2478–2488. https://doi.org/10.1109/taes.2019.2941104 ( reposiTUm)

Gaglione, D., Soldi, G., Braca, P., De Magistris, G., Meyer, F., & Hlawatsch, F. (2020). Classification-aided multitarget tracking using the sum-product algorithm. IEEE Signal Processing Letters, 27, 1710–1714. https://doi.org/10.1109/lsp.2020.3024858 ( reposiTUm)

Dorazil, J., Repp, R., Kropfreiter, T., Prüller, R., Říha, K., & Hlawatsch, F. (2020). Tracking carotid artery wall motion using an unscented Kalman filter and data fusion. IEEE Access, 8, 222506–222519. https://doi.org/10.1109/access.2020.3041796 ( reposiTUm)

Papa, G., Repp, R., Meyer, F., Braca, P., & Hlawatsch, F. (2019). Distributed Bernoulli filtering using likelihood consensus. IEEE Transactions on Signal and Information Processing over Networks, 5(2), 218–233. https://doi.org/10.1109/tsipn.2018.2881718 ( reposiTUm)

Li, T., Hlawatsch, F., & Djuric, P. M. (2019). Cardinality-consensus-based PHD filtering for distributed multitarget tracking. IEEE Signal Processing Letters, 26(1), 49–53. https://doi.org/10.1109/lsp.2018.2878064 ( reposiTUm)

Soldi, G., Meyer, F., Braca, P., & Hlawatsch, F. (2019). Self-tuning algorithms for multisensor-multitarget tracking using belief propagation. IEEE Transactions on Signal Processing, 67(15), 3922–3937. https://doi.org/10.1109/tsp.2019.2916764 ( reposiTUm)

Leitinger, E., Meyer, F., Hlawatsch, F., Witrisal, K., Tufvesson, F., & Win, M. Z. (2019). A belief propagation algorithm for multipath-based SLAM. IEEE Transactions on Wireless Communications, 18(12), 5613–5629. https://doi.org/10.1109/twc.2019.2937781 ( reposiTUm)

Říha, K., Zukal, M., & Hlawatsch, F. (2018). Analysis of carotid artery transverse sections in long ultrasound video sequences. Ultrasound in Medicine and Biology, 44(1), 153–167. https://doi.org/10.1016/j.ultrasmedbio.2017.08.933 ( reposiTUm)

Meyer, F., Kropfreiter, T., Williams, J. L., Lau, R., Hlawatsch, F., Braca, P., & Win, M. Z. (2018). Message Passing Algorithms for Scalable Multitarget Tracking. Proceedings of the IEEE, 106(2), 221–259. https://doi.org/10.1109/jproc.2018.2789427 ( reposiTUm)

Meyer, F., Etzlinger, B., Liu, Z., Hlawatsch, F., & Win, M. Z. (2018). A Scalable Algorithm for Network Localization and Synchronization. IEEE Internet of Things Journal, 5(6), 4714–4727. https://doi.org/10.1109/jiot.2018.2811408 ( reposiTUm)

Koliander, G., Schuhmacher, D., & Hlawatsch, F. (2018). Rate-distortion theory of finite point processes. IEEE Transactions on Information Theory, 64(8), 5832–5861. https://doi.org/10.1109/tit.2018.2829161 ( reposiTUm)

Meyer, F., Braca, P., Willett, P., & Hlawatsch, F. (2017). A scalable algorithm for tracking an unknown number of targets using multiple sensors. IEEE Transactions on Signal Processing, 65(13), 3478–3493. https://doi.org/10.1109/tsp.2017.2688966 ( reposiTUm)

Etzlinger, B., Meyer, F., Hlawatsch, F., Springer, A., & Wymeersch, H. (2017). Cooperative simultaneous localization and synchronization in mobile agent networks. IEEE Transactions on Signal Processing, 65(14), 3587–3602. https://doi.org/10.1109/tsp.2017.2691665 ( reposiTUm)

Meyer, F., Hlinka, O., Wymeersch, H., Riegler, E., & Hlawatsch, F. (2016). Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects. IEEE Transactions on Signal and Information Processing over Networks, 2(1), 57–71. https://doi.org/10.1109/tsipn.2015.2511920 ( reposiTUm)

Cakmak, B., Urup, D. N., Meyer, F., Pedersen, T., Fleury, B., & Hlawatsch, F. (2016). Cooperative Localization for Mobile Networks: A Distributed Belief Propagation - Mean Field Message Passing Algorithm. IEEE Signal Processing Letters, 23(6), 828–832. http://hdl.handle.net/20.500.12708/149644 ( reposiTUm)

Koliander, G., Pichler, G., Riegler, E., & Hlawatsch, F. (2016). Entropy and Source Coding for Integer-Dimensional Singular Random Variables. IEEE Transactions on Information Theory, 62(11), 6124–6154. https://doi.org/10.1109/tit.2016.2604248 ( reposiTUm)

Kail, G., Hlawatsch, F., & Novak, C. (2015). SMLR-Type Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Temporal Distance Constraint. IEEE Transactions on Signal Processing, 63(18), 4838–4853. http://hdl.handle.net/20.500.12708/151034 ( reposiTUm)

Meyer, F., Wymeersch, H., Fröhle, M., & Hlawatsch, F. (2015). Distributed Estimation With Information-Seeking Control in Agent Networks. IEEE Journal on Selected Areas in Communications, 33(11), 2439–2456. http://hdl.handle.net/20.500.12708/151639 ( reposiTUm)

Hlinka, O., Hlawatsch, F., & Djuric, P. (2015). Distributed sequential estimation in asynchronous wireless sensor networks. IEEE Signal Processing Letters, 22(11), 1965–1969. http://hdl.handle.net/20.500.12708/151810 ( reposiTUm)

Lin, C., Kail, G., Giremus, A., Mailhes, C., Tourneret, J.-Y., & Hlawatsch, F. (2014). Sequential Beat-to-Beat P and T Wave Delineation and Waveform Estimation in ECG Signals: Block Gibbs Sampler and Marginalized Particle Filter. Signal Processing, 104, 174–187. http://hdl.handle.net/20.500.12708/157203 ( reposiTUm)

Koliander, G., Riegler, E., Durisi, G., & Hlawatsch, F. (2014). Degrees of Freedom of Generic Block-Fading MIMO Channels Without a Priori Channel State Information. IEEE Transactions on Information Theory, 60(12), 7760–7781. https://doi.org/10.1109/tit.2014.2362931 ( reposiTUm)

Jung, A., Schmutzhard, S., Hlawatsch, F., Ben-Haim, Z., & Eldar, Y. C. (2014). Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach. IEEE Transactions on Information Theory, 60(10), 6555–6575. http://hdl.handle.net/20.500.12708/157093 ( reposiTUm)

Hlinka, O., Hlawatsch, F., & Djuric, P. (2014). Consensus-based distributed particle filtering with distributed proposal adaptation. IEEE Transactions on Signal Processing, 62(12), 3029–3041. https://doi.org/10.1109/tsp.2014.2319777 ( reposiTUm)

Meyer, F., Hlinka, O., & Hlawatsch, F. (2014). Sigma Point Belief Propagation. IEEE Signal Processing Letters, 21(2), 145–149. http://hdl.handle.net/20.500.12708/156389 ( reposiTUm)

Jung, A., Schmutzhard, S., & Hlawatsch, F. (2014). The RKHS approach to minimum variance estimation revisited: Variance bounds, sufficient statistics, and exponential families. IEEE Transactions on Information Theory, 60(7), 4050–4065. http://hdl.handle.net/20.500.12708/156721 ( reposiTUm)

Matz, G., Bölcskei, H., & Hlawatsch, F. (2013). Time-Frequency Foundations of Communications: Concepts and Tools. IEEE Signal Processing Magazine, 30(6), 87–96. https://doi.org/10.1109/msp.2013.2269702 ( reposiTUm)

Novak, C., Matz, G., & Hlawatsch, F. (2013). IDMA for the Multiuser MIMO-OFDM Uplink: A Factor Graph Framework for Joint Data Detection and Channel Estimation. IEEE Transactions on Signal Processing, 61(16), 4051–4066. http://hdl.handle.net/20.500.12708/156284 ( reposiTUm)

Svac, P., Meyer, F., Riegler, E., & Hlawatsch, F. (2013). Soft-Heuristic Detectors for Large MIMO Systems. IEEE Transactions on Signal Processing, 61(18), 4573–4586. https://doi.org/10.1109/tsp.2013.2271749 ( reposiTUm)

Jung, A., Tauböck, G., & Hlawatsch, F. (2013). Compressive Spectral Estimation for Nonstationary Random Processes. IEEE Transactions on Information Theory, 59(5), 3117–3138. http://hdl.handle.net/20.500.12708/154938 ( reposiTUm)

Hlinka, O., Hlawatsch, F., & Djuric, P. M. (2013). Distributed Particle Filtering in Agent Networks: A Survey, Classification, and Comparison. IEEE Signal Processing Magazine, 30(1), 61–81. https://doi.org/10.1109/msp.2012.2219652 ( reposiTUm)

Kail, G., Tourneret, J.-Y., Hlawatsch, F., & Dobigeon, N. (2012). Blind deconvolution of sparse pulse sequences under a minimum distance constraint: A partially collapsed Gibbs sampler method. IEEE Transactions on Signal Processing, 60(6), 2727–2743. http://hdl.handle.net/20.500.12708/163799 ( reposiTUm)

Hlinka, O., Sluciak, O., Hlawatsch, F., Djuric, P. M., & Rupp, M. (2012). Likelihood Consensus and Its Application to Distributed Particle Filtering. IEEE Transactions on Signal Processing, 60(8), 4334–4349. https://doi.org/10.1109/tsp.2012.2196697 ( reposiTUm)

Tauböck, G., Hampejs, M., Svac, P., Matz, G., Hlawatsch, F., & Grochenig, K. (2011). Low-complexity ICI/ISI equalization in doubly dispersive multicarrier systems using a decision-feedback LSQR algorithm. IEEE Transactions on Signal Processing, 59(5), 2432–2436. https://doi.org/10.1109/tsp.2011.2113181 ( reposiTUm)

Jung, A., Ben-Haim, Z., Hlawatsch, F., & Eldar, Y. C. (2011). Unbiased Estimation of a Sparse Vector in White Gaussian Noise. IEEE Transactions on Information Theory, 57(12), 7856–7876. http://hdl.handle.net/20.500.12708/162618 ( reposiTUm)

Tauböck, G., Hlawatsch, F., Eiwen, D., & Rauhut, H. (2010). Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing. IEEE Journal of Selected Topics in Signal Processing, 4(2), 255–271. http://hdl.handle.net/20.500.12708/167083 ( reposiTUm)

Jachan, M., Matz, G., & Hlawatsch, F. (2009). Vector Time-Frequency AR Models for Nonstationary Multivariate Random Processes. IEEE Transactions on Signal Processing, 57(12), 4646–4659. https://doi.org/10.1109/tsp.2009.2026600 ( reposiTUm)

Kopsa, K., Artes, H., Matz, G., & Hlawatsch, F. (2007). Multiuser Space-Time Algorithms for Synchronization, Channel Estimation, and Data Detection in an Interference Monitoring System for UMTS/TDD Networks. IEEE Transactions on Communications, 55(10), 1973–1983. https://doi.org/10.1109/tcomm.2007.906431 ( reposiTUm)

Jachan, M., Matz, G., & Hlawatsch, F. (2007). Time-Frequency ARMA Models and Parameter Estimators for Underspread Nonstationary Random Processes. IEEE Transactions on Signal Processing, 55(9), 4366–4381. https://doi.org/10.1109/tsp.2007.896265 ( reposiTUm)

Matz, G., Schafhuber, D., Grochenig, K., Hartmann, M., & Hlawatsch, F. (2007). Analysis, optimization, and implementation of low-interference wireless multicarrier systems. IEEE Transactions on Wireless Communications, 6(5), 1921–1931. https://doi.org/10.1109/twc.2007.360393 ( reposiTUm)

Matz, G., & Hlawatsch, F. (2006). Nonstationary Spectral Analysis Based on Time-Frequency Operator Symbols and Underspread Approximations. IEEE Transactions on Information Theory, VOL. 52(3), 1067–1086. http://hdl.handle.net/20.500.12708/171765 ( reposiTUm)

Seethaler, D., Artes, H., & Hlawatsch, F. (2006). Dynamic Nulling-and-Canceling for Efficient Near-ML Decoding of MIMO Systems. IEEE Transactions on Signal Processing, VOL. 54(12), 4741–4752. http://hdl.handle.net/20.500.12708/171764 ( reposiTUm)

Seethaler, D., Artes, H., & Hlawatsch, F. (2005). Detection techniques for MIMO spatial multiplexing systems. Elektrotechnik Und Informationstechnik, 122(3), 91–96. http://hdl.handle.net/20.500.12708/171509 ( reposiTUm)

Bölcskei, H., Gröchenig, K., Hlawatsch, F., & Feichtinger, H. G. (1997). Corrections to “Oversampled Wilson expansions.” IEEE Signal Processing Letters, VOL. 4(10), 298. http://hdl.handle.net/20.500.12708/174442 ( reposiTUm)

Hlawatsch, F., Manickam, T. G., Urbanke, R. L., & Jones, W. (1995). Smoothed pseudo-Wigner distribution, Choi-Williams distribution, and cone-kernel representation: Ambiguity-domain analysis and experimental comparison. Signal Processing, VOL. 43(2), 149–168. http://hdl.handle.net/20.500.12708/174462 ( reposiTUm)

Hlawatsch, F., & Kozek, W. (1995). Second-order time-frequency synthesis of nonstationary random processes. IEEE Transactions on Information Theory, VOL. 41(1), 255–267. http://hdl.handle.net/20.500.12708/174439 ( reposiTUm)

Hlawatsch, F., & Kozek, W. (1994). Time-frequency projection filters and time-frequency signal expansions. IEEE Transactions on Signal Processing, VOL. 42(12), 3321–3334. http://hdl.handle.net/20.500.12708/174440 ( reposiTUm)

Hlawatsch, F., Costa, A. H., & Krattenthaler, W. (1994). Time-frequency signal synthesis with time-frequency extrapolation and don’t-care regions. IEEE Transactions on Signal Processing, VOL. 42(9), 2513–2520. http://hdl.handle.net/20.500.12708/174443 ( reposiTUm)

Hlawatsch, F., & Urbanke, R. L. (1994). Bilinear time-frequency representations of signals: The shift-scale invariant class. IEEE Transactions on Signal Processing, VOL. 42(2), 357–366. http://hdl.handle.net/20.500.12708/174444 ( reposiTUm)

Papandreou, A., Hlawatsch, F., & Boudreaux-Bartels, G. F. (1993). The hyperbolic class of quadratic time-frequency representations - Part I: Constant-Q warping, the hyperbolic paradigm, properties, and members. IEEE Transactions on Signal Processing, VOL. 41(12), 3425–3444. http://hdl.handle.net/20.500.12708/174445 ( reposiTUm)

Hlawatsch, F., & Kozek, W. (1993). The Wigner distribution of a linear signal space. IEEE Transactions on Signal Processing, VOL. 41(3), 1248–1258. http://hdl.handle.net/20.500.12708/174446 ( reposiTUm)

Krattenthaler, W., & Hlawatsch, F. (1993). Time-frequency design and processing of signals via smoothed Wigner distributions. IEEE Transactions on Signal Processing, VOL. 41(1), 278–287. http://hdl.handle.net/20.500.12708/174447 ( reposiTUm)

Hlawatsch, F., & Krattenthaler, W. (1992). Bilinear signal synthesis. IEEE Transactions on Signal Processing, VOL. 40(2), 352–363. http://hdl.handle.net/20.500.12708/174449 ( reposiTUm)

Hlawatsch, F., & Boudreaux-Bartels, G. F. (1992). Linear and quadratic time-frequency signal representations. IEEE Signal Processing Magazine, VOL. 9(2), 21–67. http://hdl.handle.net/20.500.12708/174448 ( reposiTUm)

Hlawatsch, F. (1992). Regularity and unitarity of bilinear time-frequency signal representations. IEEE Transactions on Information Theory, VOL. 38(1), 82–94. http://hdl.handle.net/20.500.12708/174450 ( reposiTUm)

Hlawatsch, F., & Krattenthaler, W. (1991). Phase matching algorithms for Wigner distribution signal synthesis. IEEE Transactions on Signal Processing, VOL. 39(3), 612–619. http://hdl.handle.net/20.500.12708/174452 ( reposiTUm)

Krattenthaler, W., & Hlawatsch, F. (1991). Improved signal synthesis from pseudo Wigner distribution. IEEE Transactions on Signal Processing, VOL. 39(2), 506–509. http://hdl.handle.net/20.500.12708/174453 ( reposiTUm)

Hlawatsch, F. (1991). Duality and classification of bilinear time-frequency signal representations. IEEE Transactions on Signal Processing, VOL. 39(7), 1564–1574. http://hdl.handle.net/20.500.12708/174451 ( reposiTUm)

Preis, D., Hlawatsch, F., Bloom, P. J., & Deer, J. A. (1987). Wigner distribution analysis of filters with perceptible phase distortion. Journal of the Audio Engineering Society, 35(12), 1004–1012. http://hdl.handle.net/20.500.12708/174463 ( reposiTUm)

Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2024). A Distributed Joint Integrated Probabilistic Data Association (JIPDA) Filter with Soft Object Association. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings (pp. 12906–12910). https://doi.org/10.1109/ICASSP48485.2024.10447110 ( reposiTUm)

Šauša, E., Rajmic, P., & Hlawatsch, F. (2024). Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 13006–13010). IEEE. https://doi.org/10.1109/ICASSP48485.2024.10447108 ( reposiTUm)

Bucco, T. J., Koliander, G., Kreidl, B., & Hlawatsch, F. (2024). Online Learning of Model Parameters and Object Classes in Extended Multiobject Tracking. In 2024 27th International Conference on Information Fusion (FUSION). 2024 27th International Conference on Information Fusion (FUSION), Venice, Italy. https://doi.org/10.23919/FUSION59988.2024.10706330 ( reposiTUm)

Dorazil, J., Fleury, B. H., & Hlawatsch, F. (2023). Bayesian Methods for Optical Flow Estimation Using a Variational Approximation, with Applications to Ultrasound. In Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1–5). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.34726/5369 ( reposiTUm)

Kropfreiter, T., & Hlawatsch, F. (2020). A Probabilistic Label Association Algorithm for Distributed Labeled Multi-Bernoulli Filtering. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION). IEEE 23rd International Conference on Information Fusion (FUSION-20), Rustenburg, South Africa. https://doi.org/10.23919/fusion45008.2020.9190440 ( reposiTUm)

Dorazil, J., Repp, R., Kropfreiter, T., Prüller, R., Riha, K., & Hlawatsch, F. (2020). Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona (virtual), Spain. IEEE. https://doi.org/10.1109/icassp40776.2020.9054703 ( reposiTUm)

Dorazil, J., Repp, R., Kropfreiter, T., Prüller, R., Riha, K., & Hlawatsch, F. (2019). A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences. In 2019 27th European Signal Processing Conference (EUSIPCO). 27th European Signal Processing Converence, EUSIPCO 2019, A Coruña, Spain. IEEE. https://doi.org/10.23919/eusipco.2019.8902772 ( reposiTUm)

Soldi, G., Gaglione, D., Meyer, F., Hlawatsch, F., Braca, P., Farina, A., & Z. Win, M. (2019). Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), Brighton, United Kingdom of Great Britain and Northern Ireland (the). https://doi.org/10.1109/icassp.2019.8683891 ( reposiTUm)

Kropfreiter, T., & Hlawatsch, F. (2018). Multiobject Tracking with Track Continuity: An Efficient Random Finite Set Based Algorithm. In 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF). 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany. IEEE. https://doi.org/10.1109/sdf.2018.8547059 ( reposiTUm)

Repp, R., Papa, G., Meyer, F., Braca, P., & Hlawatsch, F. (2018). A Distributed Bernoulli Filter Based on Likelihood Consensus with Adaptive Pruning. In 2018 21st International Conference on Information Fusion (FUSION). 21st International Conference on Information Fusion (FUSION 2018), Cambridge, United Kingdom of Great Britain and Northern Ireland (the). IEEE. https://doi.org/10.23919/icif.2018.8455302 ( reposiTUm)

Repp, R., Rajmic, P., Meyer, F., & Hlawatsch, F. (2018). Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus. In 2018 IEEE Statistical Signal Processing Workshop (SSP). 2018 IEEE Statistical Signal Processing Workshop (SSP), Freiburg im Breisgau, Germany. IEEE. https://doi.org/10.1109/ssp.2018.8450815 ( reposiTUm)

Repp, R., Koliander, G., Meyer, F., & Hlawatsch, F. (2017). Local detection and estimation of multiple objects from images with overlapping observation areas. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, Louisiana, United States of America (the). IEEE. https://doi.org/10.1109/icassp.2017.7953036 ( reposiTUm)

Leitinger, E., Meyer, F., Meissner, P., Witrisal, K., & Hlawatsch, F. (2016). Belief Propagation Based Joint Probabilistic Data Association for Multipath-Assisted Indoor Navigation and Tracking. In ICL-GNSS-2016 (p. 6). http://hdl.handle.net/20.500.12708/75496 ( reposiTUm)

Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2016). Sequential Monte Carlo Implementation of the Track-Oriented Marginal Multi-Bernoulli/Poisson Filter. In FUSION-2016 (pp. 972–979). http://hdl.handle.net/20.500.12708/75445 ( reposiTUm)

Meyer, F., Braca, P., Hlawatsch, F., Micheli, M., & LePage, K. D. (2016). Scalable Adaptive Multitarget Tracking Using Multiple Sensors. In GLOBECOM-2016 (p. 6). http://hdl.handle.net/20.500.12708/75497 ( reposiTUm)

Meyer, F., Braca, P., Willett, P., & Hlawatsch, F. (2016). Tracking an Unknown Number of Targets Using Multiple Sensors: A Belief Propagation Method. In FUSION-2016 (pp. 719–726). http://hdl.handle.net/20.500.12708/75495 ( reposiTUm)

Meyer, F., Wymeersch, H., & Hlawatsch, F. (2015). Cooperative localization with information-seeking control. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), Atlanta, GA, USA, Austria. https://doi.org/10.1109/icassp.2015.7178492 ( reposiTUm)

Meyer, F., Braca, P., Willett, P., & Hlawatsch, F. (2015). Scalable Multitarget Tracking Using Multiple Sensors: A Belief Propagation Approach. In FUSION-2015 (pp. 1778–1785). http://hdl.handle.net/20.500.12708/74904 ( reposiTUm)

Hlinka, O., Sluciak, O., Hlawatsch, F., & Rupp, M. (2014). Distributed data fusion using iterative covariance intersection. In Ieee Icassp 2014 (pp. 1880–1884). IEEE - Institute of Electrical and Electronics Engineers, Inc. http://hdl.handle.net/20.500.12708/74000 ( reposiTUm)

Etzlinger, B., Meyer, F., Wymeersch, H., Hlawatsch, F., Müller, G., & Springer, A. (2014). Cooperative simultaneous localization and synchronization: Toward a low-cost hardware implementation. In 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM). 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, EU. https://doi.org/10.1109/sam.2014.6882331 ( reposiTUm)

Pichler, G., Koliander, G., Riegler, E., & Hlawatsch, F. (2014). Entropy for singular distributions. In 2014 IEEE International Symposium on Information Theory. 2014 IEEE International Symposium on Information Theory (ISIT 2014), Honolulu, HI, USA, Non-EU. https://doi.org/10.1109/isit.2014.6875281 ( reposiTUm)

Jung, A., Heckel, R., Bölcskei, H., & Hlawatsch, F. (2014). Compressive nonparametric graphical model selection for time series. In ICASSP (pp. 769–773). IEEE. http://hdl.handle.net/20.500.12708/74021 ( reposiTUm)

Moldaschl, M., Gansterer, W., Hlinka, O., Meyer, F., & Hlawatsch, F. (2014). Distributed Decorrelation in Sensor Networks with Application to Distributed Particle Filtering. In IEEE ICASSP-2014 (pp. 6158–6162). IEEE. http://hdl.handle.net/20.500.12708/74001 ( reposiTUm)

Etzlinger, B., Meyer, F., Springer, A., Hlawatsch, F., & Wymeersch, H. (2013). Cooperative Simultaneous Localization and Synchronization: A Distributed Hybrid Message Passing Algorithm. In Asilomar 2013 (p. 5). http://hdl.handle.net/20.500.12708/73784 ( reposiTUm)

Meyer, F., Etzlinger, B., Hlawatsch, F., & Springer, A. (2013). A Distributed Particle-based Belief Propagation Algorithm for Cooperative Simultaneous Localization and Synchronization. In Asilomar 2013 (p. 5). http://hdl.handle.net/20.500.12708/73783 ( reposiTUm)

Meyer, F., Hlawatsch, F., & Wymeersch, H. (2013). Cooperative Simultaneous Localization and Tracking (CoSLAT) with Reduced Complexity and Communication. In IEEE ICASSP-2013 (pp. 4484–4488). IEEE. http://hdl.handle.net/20.500.12708/73465 ( reposiTUm)

Hlinka, O., & Hlawatsch, F. (2013). Distributed particle filtering in the presence of mutually correlated sensor noises. In Proc. IEEE ICASSP 2013 (pp. 6269–6273). IEEE - Institute of Electrical and Electronics Engineers, Inc. http://hdl.handle.net/20.500.12708/73496 ( reposiTUm)

Koliander, G., Riegler, E., Durisi, G., & Hlawatsch, F. (2013). Generic correlation increases noncoherent MIMO capacity. In 2013 IEEE International Symposium on Information Theory. IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, Non-EU. https://doi.org/10.1109/isit.2013.6620593 ( reposiTUm)

Hlinka, O., Hlawatsch, F., & Djuric, P. (2012). Likelihood Consensus-Based Distributed Particle Filtering with Distributed Proposal Density Adaptation. In Proc. IEEE ICASSP 2012 (pp. 3869–3872). IEEE Xplore. http://hdl.handle.net/20.500.12708/72901 ( reposiTUm)

Svac, P., Meyer, F., Riegler, E. H., & Hlawatsch, F. (2012). Low-Complexity Detection for Large MIMO Systems Using Partial ML Detection and Genetic Programming. In IEEE SPAWC-2012 (pp. 585–589). http://hdl.handle.net/20.500.12708/73222 ( reposiTUm)

Koliander, G., Riegler, E., Durisi, G., Morgenshtern, V. I., & Hlawatsch, F. (2012). A lower bound on the noncoherent capacity pre-log for the MIMO channel with temporally correlated fading. In 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, Non-EU. https://doi.org/10.1109/allerton.2012.6483354 ( reposiTUm)

Meyer, F., Riegler, E. H., Hlinka, O., & Hlawatsch, F. (2012). Simultaneous Distributed Sensor Self-Localization and Target Tracking Using Belief Propagation and Likelihood Consensus. In Asilomar 2012 (p. 5). http://hdl.handle.net/20.500.12708/73105 ( reposiTUm)

Hlinka, O., Sluciak, O., Hlawatsch, F., Djuric, P., & Rupp, M. (2011). Distributed Gaussian particle filtering using likelihood consensus. In Proc. IEEE ICASSP-11 (pp. 3756–3759). IEEE Xplore. http://hdl.handle.net/20.500.12708/72462 ( reposiTUm)

Sluciak, O., Hlinka, O., Rupp, M., Hlawatsch, F., & Djuric, P. (2011). Sequential Likelihood Consensus and Its Application to Distributed Particle Filtering with Reduced Communications and Latency. In Proc. 45th Asilomar Conf. Signals, Systems, Computers. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, Non-EU. http://hdl.handle.net/20.500.12708/72460 ( reposiTUm)

Kail, G., Witrisal, K., & Hlawatsch, F. (2011). Direction-Resolved Estimation of Multipath Parameters for UWB Channels: A Partially Collapsed Gibbs Sampler Method. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2011. ICASSP 2011. (pp. 3484–3487). http://hdl.handle.net/20.500.12708/72228 ( reposiTUm)

Eiwen, D., Tauböck, G., Hlawatsch, F., & Feichtinger, H. G. (2011). Compressive tracking of doubly selective channels in multicarrier systems based on sequential delay-Doppler sparsity. In Proc. IEEE ICASSP-11 (pp. 2928–2931). IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/72220 ( reposiTUm)

Lin, C., Kail, G., Tourneret, J.-Y., Mailhes, C., & Hlawatsch, F. (2011). P and T Wave Delineation and Waveform Estimation in ECG Signals Using a Block Gibbs Sampler. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2011. ICASSP 2011. (pp. 537–540). http://hdl.handle.net/20.500.12708/72229 ( reposiTUm)

Schmutzhard, S., Jung, A., & Hlawatsch, F. (2011). Minimum variance estimation for the sparse signal in noise model. In IEEE Conf. Proceedings (pp. 124–128). http://hdl.handle.net/20.500.12708/72611 ( reposiTUm)

Lin, C., Kail, G., Mailhes, C., Tourneret, J.-Y., & Hlawatsch, F. (2011). Segmentation des signaux ECG et caractérisation des ondes P et T à l’aide d’un échantillonneur de Gibbs par bloc. In Proc. GRETSI-11. XXIIIe Colloque GRETSI, Bordeaux, France, EU. http://hdl.handle.net/20.500.12708/72654 ( reposiTUm)

Jung, A., Schmutzhard, S., Hlawatsch, F., & Hero, A. (2011). Performance bounds for sparse parametric covariance estimation in Gaussian models. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011) (pp. 4156–4159). IEEE. http://hdl.handle.net/20.500.12708/72225 ( reposiTUm)

Eiwen, D., Tauböck, G., Hlawatsch, F., & Feichtinger, H. G. (2010). Group sparsity methods for compressive channel estimation in doubly dispersive multicarrier systems. In Proc. IEEE SPAWC-10 (p. 5). http://hdl.handle.net/20.500.12708/71538 ( reposiTUm)

Eiwen, D., Tauböck, G., Hlawatsch, F., Rauhut, H., & Czink, N. (2010). Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity. In Proc. IEEE ICASSP-10 (p. 4). IEEE. http://hdl.handle.net/20.500.12708/71537 ( reposiTUm)

Hlinka, O., Sluciak, O., Hlawatsch, F., Djuric, P., & Rupp, M. (2010). Likelihood Consensus: Principles and Application to Distributed Particle Filtering. In Proc. 44th Asilomar Conf. Signals, Systems, Computers. IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/71717 ( reposiTUm)

Schmutzhard, S., Jung, A., Hlawatsch, F., Ben-Haim, Z., & Eldar, Y. C. (2010). A Lower Bound on the Estimator Variance for the Sparse Linear Model. In Proc. 44th Asilomar Conf. Signals, Systems, Computers (pp. 1976–1980). IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/71718 ( reposiTUm)

Jung, A., Ben-Haim, Z., Hlawatsch, F., & Eldar, Y. C. (2010). On Unbiased Estimation Of Sparse Vectors Corrupted By Gaussian Noise. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010) (pp. 3990–3993). IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/71390 ( reposiTUm)

Kail, G., Tourneret, J.-Y., Hlawatsch, F., & Dobigeon, N. (2010). A Partially Collapsed Gibbs Sampler for Parameters with Local Constraints. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ICASSP 2010. (pp. 3886–3889). IEEE. http://hdl.handle.net/20.500.12708/71400 ( reposiTUm)

Hlinka, O., Djuric, P., & Hlawatsch, F. (2009). Time-space-sequential Distributed Particle Filtering with Low-rate Communications. In Proc. 43rd Asilomar Conf. Signals, Systems, Computers. IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/70515 ( reposiTUm)

Hampejs, M., Svac, P., Tauböck, G., Gröchenig, K., Hlawatsch, F., & Matz, G. (2009). Sequential LSQR-based ICI equalization and decision-feedback ISI cancellation in pulse-shaped multicarrier systems. In Proceedings of IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC) 2009 (pp. 1–5). http://hdl.handle.net/20.500.12708/70914 ( reposiTUm)

Jung, A., Tauböck, G., & Hlawatsch, F. (2009). Compressive Nonstationary Spectral Estimation Using Parsimonious Random Sampling of the Ambiguity Function. In Proc. IEEE SSP-09 (pp. 642–645). IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/70950 ( reposiTUm)

Kail, G., Hlawatsch, F., & Novak, C. (2009). Efficient Bayesian detection of multiple events with a minimum-distance constraint. In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing. IEEE-SP Workshop on Statistical Signal Processing (SSP), Bordeaux, France, Austria. https://doi.org/10.1109/ssp.2009.5278635 ( reposiTUm)

Hlinka, O., & Hlawatsch, F. (2009). Time-Space-Sequential Algorithms For Distributed Bayesian State Estimation In Serial Sensor Networks. In Proc. IEEE ICASSP 2009 (pp. 2057–2060). IEEE. http://hdl.handle.net/20.500.12708/70834 ( reposiTUm)

Jung, A., Tauböck, G., & Hlawatsch, F. (2009). Compressive Spectral Estimation For Nonstationary Random Processes. In Proc. IEEE ICASSP 2009 (pp. 3029–3032). IEEE Conference Proceedings. http://hdl.handle.net/20.500.12708/70833 ( reposiTUm)

Novak, C., Matz, G., & Hlawatsch, F. (2009). Factor Graph Based Design of an OFDM-IDMA Receiver Performing Joint Data Detection, Channel Estimation, and Channel Length Selection. In Proc. Proceedings of ICASSP 2009 (pp. 2561–2564). IEEE. http://hdl.handle.net/20.500.12708/70783 ( reposiTUm)

Kail, G., Novak, C., Hofer, B., & Hlawatsch, F. (2009). Blind Monte Carlo detection-estimation method for optical coherence tomography. In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), Taipei, Taiwan, Non-EU. IEEE. https://doi.org/10.1109/icassp.2009.4959628 ( reposiTUm)

Tauböck, G., & Hlawatsch, F. (2008). Compressed Sensing Based Estimation Of Doubly Selective Channels Using A Sparsity-Optimized Basis Expansion. In Proceedings of the 16th European Signal Processing Conference 2008 (EUSIPCO 2008) (p. 5). http://hdl.handle.net/20.500.12708/70243 ( reposiTUm)

Tauböck, G., & Hlawatsch, F. (2008). A COMPRESSED SENSING TECHNIQUE FOR OFDM CHANNEL ESTIMATION IN MOBILE ENVIRONMENTS: EXPLOITING CHANNEL SPARSITY FOR REDUCING PILOTS. In Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (p. 4). http://hdl.handle.net/20.500.12708/70194 ( reposiTUm)

Novak, C., Hlawatsch, F., & Matz, G. (2008). Low-Complexity Factor Graph Receivers for Spectrally Efficient MIMO-IDMA. In Proceedings of ICC 2008. IEEE International Conference on Communications (ICC), Glasgow, UK, EU. IEEE. http://hdl.handle.net/20.500.12708/70193 ( reposiTUm)

Hofer, B. M., Povazay, B., Hermann, B., Unterhuber, A., Matz, G., Hlawatsch, F., & Drexler, W. (2007). Signal post processing in frequency domain OCT and OCM using a filter bank approach. In Proc. SPIE Int. Soc. Opt. Eng. (pp. 64430O – 6). http://hdl.handle.net/20.500.12708/70095 ( reposiTUm)

Seethaler, D., Matz, G., & Hlawatsch, F. (2007). Low-Complexity MIMO Data Detection Using Seysen’s Lattice Reduction Algorithm. In Proceedings of ICASSP 2007 (pp. 53–56). http://hdl.handle.net/20.500.12708/69634 ( reposiTUm)

Novak, C., Hlawatsch, F., & Matz, G. (2007). MIMO-IDMA: Uplink Multiuser MIMO Communications Using Interleave-Division Multiple Access and Low-Complexity Iterative Receivers. In Proceedings of ICASSP 2007 (pp. 225–228). http://hdl.handle.net/20.500.12708/69637 ( reposiTUm)

Tauböck, G., Hampejs, M., Matz, G., Hlawatsch, F., & Gröchenig, K. (2007). LSQR-based ICI equalization for multicarrier communications in strongly dispersive and highly mobile environments. In Proceedings of the 8th IEEE Workshop on Signal Processing Advances in Wireless Communications (p. 5). http://hdl.handle.net/20.500.12708/70079 ( reposiTUm)

Tauböck, G., & Hlawatsch, F. (2007). On the capacity-achieving input covariance for multicarrier communications over doubly selective channels. In Proceedings of the 2007 IEEE International Symposium on Information Theory (p. 5). http://hdl.handle.net/20.500.12708/70081 ( reposiTUm)

Matz, G., Gröchenig, K., Hlawatsch, F., Klotz, A., Tauböck, G., & Skupch, A. M. (2006). Advanced mathematical models for the design and optimization of low-interference wireless multicarrier systems. In Proceedings of the 5th Vienna Symposium on Mathematical Modelling (pp. 3.1-3.9). ARGESIM-Verlag, Wien. http://hdl.handle.net/20.500.12708/69391 ( reposiTUm)

Seethaler, D., Matz, G., & Hlawatsch, F. (2006). Efficient Soft Demodulation in MIMO-OFDM Systems with BICM and Constant Modulus Alphabets. In Proceedings IEEE ICASSP 2006 (pp. 105–108). http://hdl.handle.net/20.500.12708/69052 ( reposiTUm)

Jachan, M., Matz, G., & Hlawatsch, F. (2006). Least-Squares and Maximum-Likelihood TFAR Parameter Estimation for Nonstationary Processes. In Proceedings of IEEE ICASSP 2006 (pp. 492–495). http://hdl.handle.net/20.500.12708/69087 ( reposiTUm)

Matz, G., & Hlawatsch, F. (2006). Time-varying communication channels: Fundamentals Recent developments and open problems. In Proceedings of the 14th European Signal Processing Conference (p. 5). http://hdl.handle.net/20.500.12708/69437 ( reposiTUm)

Jachan, M., Hlawatsch, F., & Matz, G. (2005). Linear Methods for TFARMA Parameter Estimation and System Approximation. In Proceedings of the 13th Statistical Signal Processing Workshop (SSP) (pp. 909–914). http://hdl.handle.net/20.500.12708/68544 ( reposiTUm)

Seethaler, D., Matz, G., & Hlawatsch, F. (2005). Low-Complexity Soft Demodulation of MIMO-BICM Using the Line-Search Detector. In Proceedings of the IEEE International Conference on Communications (ICC-2005) (pp. 2447–2451). http://hdl.handle.net/20.500.12708/68541 ( reposiTUm)

Jachan, M., Matz, G., & Hlawatsch, F. (2005). TFARMA Models: Order Estimation and Stabilization. In Proceedings of the IEEE Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2005) (pp. 301–304). http://hdl.handle.net/20.500.12708/68542 ( reposiTUm)

Seethaler, D., Artes, H., & Hlawatsch, F. (2005). Dynamic versus conventional layer sorting for nulling-and-cancelling based MIMO detection. In Proceedings of the 13th European Signal Processing Conference (p. 4). http://hdl.handle.net/20.500.12708/68602 ( reposiTUm)

Czink, N., Matz, G., Seethaler, D., & Hlawatsch, F. (2005). Improved MMSE Estimation of Correlated MIMO Channels Using a Structured Correlation Estimator. In Proceedings IEEE SPAWC 2005 (pp. 595–599). http://hdl.handle.net/20.500.12708/68548 ( reposiTUm)

Skupch, A. M., Seethaler, D., & Hlawatsch, F. (2005). Free Probability Based Capacity Calculation for MIMO Channels with Transmit or Receive Correlation. In Proceedings of the 2005 International Conference on Wireless Networks Communications and Mobile Computing (pp. 1041–1046). http://hdl.handle.net/20.500.12708/68725 ( reposiTUm)

Artes, H., Matz, G., & Hlawatsch, F. (1999). An unbiased scattering function estimator for fast time-varying channels. In 2nd IEEE Workshop on Signal Processing Advances in Wirless Communications (SPAWC’99) (pp. 411–414). http://hdl.handle.net/20.500.12708/68317 ( reposiTUm)

Hlawatsch, F., & Matz, G. (1998). Time-frequency signal processing: A statistical perspective. In Circuits, Systems and Signal Processing (pp. 207–219). http://hdl.handle.net/20.500.12708/68318 ( reposiTUm)

Bölcskei, H., Feichtinger, H. G., Gröchenig, K., & Hlawatsch, F. (1996). Discrete-time Wilson expansions. In IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (pp. 525–528). http://hdl.handle.net/20.500.12708/68326 ( reposiTUm)

Papandreou-Suppappola, A., Hlawatsch, F., & Boudreaux-Bartels, G. F. (1996). Power class time-frequency representations: Interference geometry, smoothing, and implementation. In IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) (pp. 193–196). http://hdl.handle.net/20.500.12708/68325 ( reposiTUm)

Matz, G., & Hlawatsch, F. (1996). Time-frequency formulation and design of optimal detectors. In IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (pp. 213–216). http://hdl.handle.net/20.500.12708/68327 ( reposiTUm)

Bölcskei, H., Hlawatsch, F., & Feichtinger, H. G. (1996). Frame-theoretic analysis and design of oversampled filter banks. In IEEE Int.Symp. On Circuits and Systems (ISCAS’96) (pp. 409–412). http://hdl.handle.net/20.500.12708/68320 ( reposiTUm)

Bölcskei, H., Hlawatsch, F., & Feichtinger, H. G. (1996). Oversampled FIR and IIR DFT filter banks and Weyl-Heisenberg frames. In IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP’96) (pp. 1391–1394). http://hdl.handle.net/20.500.12708/68321 ( reposiTUm)

Hlawatsch, F., Twaroch, T., & Bölcskei, H. (1996). Wigner-type a-b and time-frequency analysis based on conjugate operators. In IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP’96)) (pp. 1395–1398). http://hdl.handle.net/20.500.12708/68322 ( reposiTUm)

Hlawatsch, F., & Twaroch, T. (1996). Covariant (α, β), time frequency, and (a,b) representations. In IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) (pp. 437–440). http://hdl.handle.net/20.500.12708/68324 ( reposiTUm)

Hlawatsch, F., & Bölcskei, H. (1995). Time-frequency distributions based on conjugate operators. In Proc. IEEE UK Sympos. (pp. 187–193a). http://hdl.handle.net/20.500.12708/69727 ( reposiTUm)

Bölcskei, H., Feichtinger, G., & Hlawatsch, F. (1995). Diagonalizing the Gabor frame operator. In Proc. IEEE UK Sympos. (pp. 249–255a). http://hdl.handle.net/20.500.12708/69743 ( reposiTUm)

Hlawatsch, F., & Bölcskei, H. (1995). Displacement-covariant time-frequency energy distributions. In Proc. IEEE ICASSP-95 (pp. 1025–1028). http://hdl.handle.net/20.500.12708/69018 ( reposiTUm)

Hlawatsch, F. (1994). Optimum time-frequency synthesis of signals, random processes, signal spaces, and time-varying filters: A unified framework. In Proceedings of Workshop Time-Frequency, Wavelets and Multiresolution: Theory, Models and Applications (pp. 12.1-12.10). http://hdl.handle.net/20.500.12708/69745 ( reposiTUm)

Kozek, W., Hlawatsch, F., Kirchauer, H., & Trautwein, U. (1994). Correlative time-frequency analysis and classification of nonstationary random processes. In Proc. IEEE-SP Int. Sympos. Time-Frequency Time-Scale Analysis (TFTS-94), (pp. 417–420). http://hdl.handle.net/20.500.12708/69020 ( reposiTUm)

Hlawatsch, F., & Bölcskei, H. (1994). Time-frequency analysis of frames. In Proc. IEEE-SP Int. Sympos. Time-Frequency Time-Scale Analysis (TFTS-94) (pp. 52–55). http://hdl.handle.net/20.500.12708/69022 ( reposiTUm)

Hlawatsch, F., & Bölcskei, H. (1994). Unified Theory of Displacement-Covariant Time-Frequency Analysis. In Proc. IEEE-SP Int. Sympos. Time-Frequency Time-Scale Analysis (TFTS-94) (pp. 524–527). http://hdl.handle.net/20.500.12708/69028 ( reposiTUm)

Hlawatsch, F., Papandreou, A., & Boudreaux-Bartels, G. F. (1993). Regularity and unitarity of affine and hyperbolic time-frequency representations. In Proc. IEEE ICASSP-93 (pp. 245–248). http://hdl.handle.net/20.500.12708/69031 ( reposiTUm)

Hlawatsch, F., & Edelson, G. S. (1992). The ambiguity function of a linear signal space and its application to maximum-likelihood range/Doppler estimation. In in Proc. IEEE-SP Int. Sympos. Time-Frequency Time-Scale Analysis (TFTS-92) (pp. 489–492). http://hdl.handle.net/20.500.12708/69033 ( reposiTUm)

Hlawatsch, F., & Kozek, W. (1992). Time-frequency weighting and displacement effects in linear, time-varying systems. In Proc. IEEE ISCAS-92 (pp. 1455–1458). http://hdl.handle.net/20.500.12708/69034 ( reposiTUm)

Hlawatsch, F. (1992). Wigner distribution analysis of linear, time-varying systems. In Proc. IEEE ISCAS-92 (pp. 1459–1462). http://hdl.handle.net/20.500.12708/69035 ( reposiTUm)

Kozek, W., & Hlawatsch, F. (1992). A comparative study of linear and nonlinear time-frequency filters. In Proc. IEEE-SP Int. Sympos. Time-Frequency Time-Scale Analysis (TFTS-92) (pp. 163–166). http://hdl.handle.net/20.500.12708/69032 ( reposiTUm)

Kozek, W., & Hlawatsch, F. (1991). Time-frequency representation of linear time-varying systems using the Weyl symbol. In Proceedings of 6th Int. Conf. on Digital Processing of Signals in Communications (pp. 25–30). http://hdl.handle.net/20.500.12708/69747 ( reposiTUm)

Kozek, W., & Hlawatsch, F. (1991). Time-frequency filter banks with perfect reconstruction. In Proc. IEEE ICASSP-91 (pp. 2049–2052). http://hdl.handle.net/20.500.12708/69042 ( reposiTUm)

Hlawatsch, F., & Krattenthaler, W. (1989). A new approach to time-frequency signal decomposition. In Proc. IEEE ISCAS-89 (pp. 1248–1251). http://hdl.handle.net/20.500.12708/69043 ( reposiTUm)

Krattenthaler, W., & Hlawatsch, F. (1988). Two signal synthesis algorithms for pseudo Wigner distribution. In Proc. IEEE ICASSP-88 (pp. 1550–1553). http://hdl.handle.net/20.500.12708/69044 ( reposiTUm)

Wokurek, W., Hlawatsch, F., & Kubin, G. (1987). Wigner distribution analysis of speech signals. In Proceedings of 1987 Int. Conf. on Digital Signals Processing (pp. 294–298). http://hdl.handle.net/20.500.12708/69748 ( reposiTUm)

Flandrin, P., & Hlawatsch, F. (1985). Signal representations geometry and catastrophes in the time-frequency plane. In Mathematics in Signal Processing, Eds. T.S. Durrani et al., Clarendon Press Oxford, UK, 1987 (pp. 3–14). http://hdl.handle.net/20.500.12708/69749 ( reposiTUm)

Hlawatsch, F. (1984). Interference terms in the Wigner distribution. In Proceedings of Int. Conf. on Digital Signal Processing (pp. 363–367). http://hdl.handle.net/20.500.12708/69750 ( reposiTUm)

Sayed, A. H., Djuric, P., & Hlawatsch, F. (2018). Distributed Kalman and Particle Filtering. In P. Djuric & C. Richard (Eds.), Cooperative and Graph Signal Processing: Principles and Applications (pp. 169–207). Academic Press / Elsevier. http://hdl.handle.net/20.500.12708/29976 ( reposiTUm)

Matz, G., & Hlawatsch, F. (2011). Fundamentals of time-varying communication channels. In F. Hlawatsch & G. Matz (Eds.), Wireless Communications over Rapidly Time-Varying Channels (pp. 1–63). Academic Press. http://hdl.handle.net/20.500.12708/27450 ( reposiTUm)

Hlawatsch, F., & Matz, G. (2008). Time-frequency methods for non-stationary statistical signal processing. In F. Hlawatsch & F. Auger (Eds.), Time-Frequency Analysis: Concepts and Methods (pp. 279–320). ISTE and Wiley. http://hdl.handle.net/20.500.12708/26310 ( reposiTUm)

Hlawatsch, F., & Matz, G. (2005). Temps-fréquence et traitement statistique. In F. Hlawatsch & F. Auger (Eds.), Temps-fréquence: concepts et outils (pp. 289–330). Hermes Science/Lavoisier. http://hdl.handle.net/20.500.12708/24989 ( reposiTUm)

Mecklenbräuker, C., Wehinger, J., Zemen, T., Artes, H., & Hlawatsch, F. (2005). Multiuser MIMO channel equalization. In Smart Antennas - State of the Art (pp. 53–76). Hindawi. http://hdl.handle.net/20.500.12708/25033 ( reposiTUm)

Bölcskei, H., & Hlawatsch, F. (1998). Oversampled modulated filter banks. In H. G. Feichtinger & T. Strohmer (Eds.), Gabor Analysis and Algorithms:Theory and Applications (pp. 295–322). Birkhäuser. http://hdl.handle.net/20.500.12708/24965 ( reposiTUm)

Hlawatsch, F., & Flandrin, P. (1997). The interference structure of the Wigner Distribution and related time-frequency signal representations. In W. F. G. Mecklenbräuker & F. Hlawatsch (Eds.), The Wigner Distribution - Theory and Applications in Signal Processing (pp. 59–133). Elsevier. http://hdl.handle.net/20.500.12708/24966 ( reposiTUm)

Hlawatsch, F., & Krattenthaler, W. (1997). Signal Synthesis Algorithms for Bilinear Time-Frequency Signal Representations. In W. F. G. Mecklenbräuker & F. Hlawatsch (Eds.), The Wigner Distribution - Theory and Applications in Signal Processing (pp. 135–209). Elsevier. http://hdl.handle.net/20.500.12708/24967 ( reposiTUm)

Hlawatsch, F., & Matz, G. (Eds.). (2011). Wireless Communications over Rapidly Time-Varying Channels. Academic Press. http://hdl.handle.net/20.500.12708/23415 ( reposiTUm)

Hlawatsch, F., & Auger, F. (Eds.). (2008). Time-Frequency Analysis: Concepts and Methods. ISTE and Wiley. http://hdl.handle.net/20.500.12708/22864 ( reposiTUm)

Hlawatsch, F., & Auger, F. (Eds.). (2005). Temps-fréquence: concepts et outils. Hermes Science/Lavoisier. http://hdl.handle.net/20.500.12708/22104 ( reposiTUm)

Hlawatsch, F. (1998). Time-frequency Analysis and Synthesis of Linear Signal Spaces: Time-Frequency Filters Signal Detection and Estimation, and Range-Doppler Estimation. Kluwer Academic Publishers. http://hdl.handle.net/20.500.12708/22079 ( reposiTUm)

Mecklenbräuker, W. F. G., & Hlawatsch, F. (Eds.). (1997). The Wigner Distribution - Theory and Applications in Signal Processing. Elsevier. http://hdl.handle.net/20.500.12708/22080 ( reposiTUm)

Weinrichter, H., & Hlawatsch, F. (1991). Stochastische Grundlagen nachrichtentechnischer Signale. Springer-Verlag, Wien - New York. http://hdl.handle.net/20.500.12708/22123 ( reposiTUm)

Meyer, F., Hlinka, O., & Hlawatsch, F. (2014). Sigma Point Belief Propagation. IEEE International Conference on Speech, Acoustics, and Signal Processing 2014 (ICASSP 2014), Florence, Italy, EU. http://hdl.handle.net/20.500.12708/90361 ( reposiTUm)

Meyer, F., Hlinka, O., & Hlawatsch, F. (2013). Sigma Point Belief Propagation. IEEE AIPWCS-2013, Aalborg, Dänemark, EU. http://hdl.handle.net/20.500.12708/90229 ( reposiTUm)

Meyer, F., Hlawatsch, F., & Wymeersch, H. (2013). Cooperative Simultaneous Localization and Tracking (CoSLAT) with Reduced Complexity and Communication. SWEPOS-2013, Göteborg, Schweden, EU. http://hdl.handle.net/20.500.12708/90230 ( reposiTUm)

Jung, A., Heckel, R., Bölcskei, H., & Hlawatsch, F. (2013). Compressive Nonparametric Graphical Model Selection for Time Series: A Multitask Learning Approach. Workshop on Statistical Issues in Compressive Sensing, Göttingen, EU. http://hdl.handle.net/20.500.12708/90126 ( reposiTUm)

Tauböck, G., & Hlawatsch, F. (2009). Struktureigenschaften der kapazitätserzielenden Sendestatistik für Mehrträger-Kommunikation über zeit-frequenz-dispersive Kanäle. Informelles Mini-Workshop mit Prof. Utschick und seiner Gruppe, Technische Universität München, Deutschland, EU. http://hdl.handle.net/20.500.12708/88975 ( reposiTUm)

Novak, C., Matz, G., & Hlawatsch, F. (2008). Factor graph based receiver design for MIMO-IDMA communications. ITG-Fachgruppensitzung “Algorithmen für die Signalverarbeitung,” TU Wien, Austria. http://hdl.handle.net/20.500.12708/89025 ( reposiTUm)

Hlawatsch, F. (2008). The Wigner distribution: Cross terms, smoothing, and signal synthesis. Workshop “Applied Analysis and Fast Computation in Phase Space,” NuHAG and Wolfgang Pauli Institute, Universität Wien, Austria. http://hdl.handle.net/20.500.12708/89026 ( reposiTUm)

Novak, C., Matz, G., & Hlawatsch, F. (2008). Factor Graph Based Receiver Design for MIMO-IDMA Communications. The University of Texas at Austin, Austin, Texas, USA, Non-EU. http://hdl.handle.net/20.500.12708/88904 ( reposiTUm)

Hlawatsch, F., Tauböck, G., & Matz, G. (2007). Pulse-shaping multicarrier transmission over underspread fading channels: A time-frequency perspective. Joint Workshop on Coding and Communications (JWCC), St. Helena (CA), USA, Non-EU. http://hdl.handle.net/20.500.12708/88976 ( reposiTUm)

Novak, C., Matz, G., & Hlawatsch, F. (2007). A Factor Graph Framework for the Design of IDMA Receivers. MASCOT Project Meeting, Calabrien, Italien, EU. http://hdl.handle.net/20.500.12708/88713 ( reposiTUm)

Hlawatsch, F. (2006). Lineare Methoden zur Zeit-Frequenz-Filterung. Festkolloquium Dr. Mecklenbräuker, TU Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/88543 ( reposiTUm)

Hlawatsch, F. (2006). Efficient demodulation for MIMO systems based on a Gaussian approximation for the post-equalization interference. Université de Marne la Vallee, Marne la Vallee, Frankreich, EU. http://hdl.handle.net/20.500.12708/88547 ( reposiTUm)

Hlawatsch, F. (2006). Efficient demodulation for MIMO systems based on a Gaussian approximation for the post-equalization interference. Supelec, Gif sur Yvette, Frankreich, EU. http://hdl.handle.net/20.500.12708/88546 ( reposiTUm)

Hlawatsch, F. (2006). Dynamic Nulling-and-Cancelling for Efficient Near-ML Decoding of MIMO Systems. Universita di Perugia, Perugia, Italien, EU. http://hdl.handle.net/20.500.12708/88545 ( reposiTUm)

Hlawatsch, F., & Matz, G. (2005). Time-frequency characterization of random time-varying communication channels. Workshop on Time-frequency methods for pseudodifferential operators, Wien, Österreich (Erwin Schrödinger Institut for Mathematical Physics), Austria. http://hdl.handle.net/20.500.12708/88550 ( reposiTUm)

Hlawatsch, F. (2005). Time-varying communications channels. Gabor Mini-Workshop, Universität Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/88552 ( reposiTUm)

Hlawatsch, F. (2005). Dynamic nulling-and-canceling with near-maximum likelihood performance for MIMO communication systems. Kolloquium Dr. Weinrichter Pensionierung, TU Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/88549 ( reposiTUm)

Hlawatsch, F., & Matz, G. (2005). A tutorial on time-varying communication channels. Workshop Application of Time Frequency Analysis in Acoustics, Acoustics Research Institute, Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/88551 ( reposiTUm)

Hlawatsch, F. (2005). Linear methods for time-frequency filtering. Workshop on Time-Frequency Analysis and Nonstationary Filtering, Banff, Alberta, Kanada, Non-EU. http://hdl.handle.net/20.500.12708/88548 ( reposiTUm)

Jachan, M., Matz, G., & Hlawatsch, F. (2005). Linear Methods for Time-Frequency-ARMA Approximation of Time-Varying Systems. International Conference Modern Methods of Time-Frequency Analysis, Strobl, Austria, Austria. http://hdl.handle.net/20.500.12708/88341 ( reposiTUm)

Gärnter, M. E., Bölcskei, H., Hong, Y., Viterbo, E., Belfiore, J.-C., Lechner, G., Burg, A., Novak, C., Hlawatsch, F., Matz, G., & Mecklenbräuker, C. (2007). Multi-user space-time code design and database of specific code constructions (D1.2.1). http://hdl.handle.net/20.500.12708/31451 ( reposiTUm)

Angelosante, D., Biglieri, E., Boche, H., Bölcskei, H., Burg, A., Coluccia, G., Fertl, P., Hlawatsch, F., Matz, G., Maurer, J., Mecklenbräuker, C., Seethaler, D., Shi, S., Studer, C., Taricco, G., Vucic, M., & Wenk, M. (2007). Baseband Transceiver Algorithms - Preliminary Version (D1.3.1). http://hdl.handle.net/20.500.12708/31453 ( reposiTUm)

Artes, H., Matz, G., & Hlawatsch, F. (1998). Linear Time-varying channels. http://hdl.handle.net/20.500.12708/31019 ( reposiTUm)

Bölcskei, H., & Hlawatsch, F. (1998). Noise reduction in oversampled filter banks using predictive quantization. http://hdl.handle.net/20.500.12708/31000 ( reposiTUm)

Hlawatsch, F., Papandreou-Suppappola, A., & Boudreaux-Bartels, G. F. (1997). The power classes: Quadratic time-frequency representations with scale covariance and dispersive time-shift covariance. http://hdl.handle.net/20.500.12708/31009 ( reposiTUm)

Hlawatsch, F., Matz, G., Kirchauer, H., & Kozek, W. (1997). Time-frequency formulation and design of time-varying optimal filters. http://hdl.handle.net/20.500.12708/31008 ( reposiTUm)

Matz, G., & Hlawatsch, F. (1997). Time frequency transfer function calculus of time-farying linear systems based on a generalized underspread theory. http://hdl.handle.net/20.500.12708/31001 ( reposiTUm)

Bölcskei, H., & Hlawatsch, F. (1996). Oversampled cosine modulated filter banks with perfect reconstruction: Analysis and design. http://hdl.handle.net/20.500.12708/31007 ( reposiTUm)

Matz, G., & Hlawatsch, F. (1996). Time frequency formulation and design of optimal detectors in nonstationary environments. http://hdl.handle.net/20.500.12708/31017 ( reposiTUm)

Bölcskei, H., & Hlawatsch, F. (1996). Discrete Zak transform, polyphase transform, and applications. http://hdl.handle.net/20.500.12708/31012 ( reposiTUm)

Hlawatsch, F., Twaroch, T., & Bölcskei, H. (1996). Displacement-covariant time-frequency analysis. http://hdl.handle.net/20.500.12708/31016 ( reposiTUm)

Matz, G., Hlawatsch, F., Schwarz, S., Zseby, T., & Fabini, J. (2024, March). Maschinelles Lernen und Telekommunikation — Eine starke Allianz. Bulletin. Alumni-Magazin der TU Wien, 56, 34–37. http://hdl.handle.net/20.500.12708/206661 ( reposiTUm)