Forschungsbereich Signal Processing

Organization Name (de) Name der Organisation (de)
E389-03 - Forschungsbereich Signal Processing
 
Code Kennzahl
E389-03
 
Type of Organization Organisationstyp
Research Division
Parent OrgUnit Übergeordnete Organisation
 
Active Aktiv
 


Results 1-20 of 674 (Search time: 0.005 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Reingruber-2025-Tight local graph Fourier frames with finite support-vor.pdf.jpgReingruber, Philipp ; Matz, Gerald Tight local graph Fourier frames with finite supportInproceedings Konferenzbeitrag 4-Apr-2025
2Kalodikis, Dimitrios Maximilian ; Matz, Gerald Graph Signal Processing for Compositional DataInproceedings Konferenzbeitrag 4-Apr-2025
3Bucco-2024-Online Learning of Model Parameters and Object Classes in Exten...-am.pdf.jpgBucco, Thomas John ; Koliander, Günther ; Kreidl, Bernd ; Hlawatsch, Franz Online Learning of Model Parameters and Object Classes in Extended Multiobject TrackingInproceedings Konferenzbeitrag 11-Oct-2024
4Matz, Gerald Underspread MattersPresentation Vortrag27-Sep-2024
5Kropfreiter-2024-IEEE Open Journal of Signal Processing-vor.pdf.jpgKropfreiter, Thomas ; Meyer, Florian ; Crouse, David ; Coraluppi, Stefano ; Hlawatsch, Franz ; Willett, Peter Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation MethodsArticle Artikel 28-Aug-2024
6Grebien, Stefan ; Leitinger, Erik ; Witrisal, Klaus ; Fleury, Bernard Super-Resolution Estimation of UWB Channels Including the Dense Component—An SBL-Inspired ApproachArticle Artikel Aug-2024
7Matz, Gerald ; Kalodikis, Dimitrios Maximilian Involution-based Graph Signal ProcessingPresentation Vortrag24-Jun-2024
8Pichler-2024-On the Infeasibility of ML Backdoor Detection as an Hypothes...-vor.pdf.jpgPichler, Georg ; Romanelli, Marco ; Manivannan, Divya Prakash ; Krishnamurthy, Prashanth ; Khorrami, Farshad ; Garg, Siddharth On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing ProblemInproceedings Konferenzbeitrag 2-May-2024
9Altieri-2024-Beyond the Norms Detecting Prediction Errors in Regression Mo...-ao.pdf.jpgAltieri, Andres Oscar ; Romanelli, Marco ; Pichler, Georg ; Alberge, Florence ; Piantanida, Pablo Beyond the Norms: Detecting Prediction Errors in Regression ModelsInproceedings Konferenzbeitrag 2-May-2024
10Matz, Gerald ; Hlawatsch, Franz ; Schwarz, Stefan ; Zseby, Tanja ; Fabini, Joachim Maschinelles Lernen und Telekommunikation — Eine starke AllianzSpecial Contribution SpezialbeitragMar-2024
11Sausa Erik - 2024 - Distributed Bayesian target tracking with reduced...pdf.jpgSausa, Erik ; Rajmic, P. ; Hlawatsch, Franz Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0Article Artikel Feb-2024
12Matz, Gerald On Generalized Signature GraphsInproceedings Konferenzbeitrag 2024
13Reingruber, Philipp ; Prüller, Richard ; Rupp, Markus 26 GHz Channel Measurements in an Office EnvironmentInproceedings Konferenzbeitrag 2024
14Sausa-2024-Likelihood Consensus 2.0 Reducing Interagent Communication in D...-am.pdf.jpgŠauša, Erik ; Rajmic, Pavel ; Hlawatsch, Franz Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target TrackingInproceedings Konferenzbeitrag 2024
15Leroy, Idyano ; Saucan, Augustin Alexandru ; Petetin, Yohan ; Clark, Daniel An Analysis of the Mutual Information Upper Bound for Sensor-Subset SelectionInproceedings Konferenzbeitrag 2024
16Hofer, Markus ; Löschenbrand, David ; Pasic, Faruk ; Radovic, Danilo ; Rainer, Benjamin ; Blumenstein, Jiri ; Mecklenbräuker, Christoph ; Sangodoyin, Seun ; Hammoud, Hussein ; Matz, Gerald ; Molisch, Andreas ; Zemen, Thomas Similarity of Wireless Multiband Propagation in Urban Vehicular-to-Infrastructure ScenariosInproceedings Konferenzbeitrag2024
17Gaglione-2024-Journal of Advances In Information Fusion-am.pdf.jpgGaglione, Domenico ; Braca, Paolo ; Soldi, Giovanni ; Meyer, Florian ; Hem, Audun Gullikstad ; Brekke, Edmund ; Hlawatsch, Franz Comments on “Variations of Joint Integrated Data Association with Radar and Target-Provided Measurements”Article Artikel Dec-2023
18Pichler, Georg ; Romanelli, Marco ; Vega , Leonardo ; Piantanida, Pablo Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated LearningArticle Artikel 20-Oct-2023
19Del Grosso, Ganesh ; Pichler, Georg ; Palamidessi, Catuscia ; Piantanida, Pablo Bounding information leakage in machine learningArticle Artikel 14-May-2023
20Dorazil-2023-Bayesian Methods for Optical Flow Estimation Using a Variatio...-am.pdf.jpgDorazil, Jan ; Fleury, Bernard Henri ; Hlawatsch, Franz Bayesian Methods for Optical Flow Estimation Using a Variational Approximation, with Applications to UltrasoundInproceedings Konferenzbeitrag May-2023