<div class="csl-bib-body">
<div class="csl-entry">Hadizadeh Hafshejani, E., Elmi, M., TaheriNejad, N., Fotowat-Ahmadi, A., & Mirabbasi, S. (2020). A Low-Power Signal-Dependent Sampling Technique: Analysis, Implementation, and Applications. <i>IEEE Transactions on Circuits and Systems I: Regular Papers</i>, <i>67</i>(12), 4334–4347. https://doi.org/10.1109/tcsi.2020.3021290</div>
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dc.identifier.issn
1549-8328
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/141606
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dc.description.abstract
Sensors are among essential building blocks of any Cyber-Physical Systems (CPSs). Acquisition and processing of their sensory data contribute to the power consumption and computation load of the overall CPSs. For data acquisition, the conventional fixed frequency sampling in many such systems is sub-optimal since a sizable number of samples do not contain important information. In this work, we propose a Signal-Dependent Sampling (SDS) method and present its associated circuit implementation. Using the proposed SDS method, the number of retained samples is significantly reduced with little or negligible compromise in the quality of the (reconstructed) signal. The associated error and added noise are analyzed and their boundaries - which can be controlled by the user - are calculated. Our experiments show that the proposed system is able to improve power efficiency of the overall system in various applications. For example, for wireless Electrocardiography (ECG), Photoplethysmography (PPG), and Electroencephalogram (EEG) monitoring systems, the proposed approach can achieve a power saving of 81%, 76%, and 64% respectively. The proof-of-concept prototype system is implemented using TSMC 0.18 μm and has a foot-print and power consumption that compare favorably with those of the state-of-the-art implementations. The method can be used in a variety of applications including wireless sensor networks, mobile and wearable devices, as well as Internet of Things (IoT) nodes.
en
dc.language.iso
en
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dc.publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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dc.relation.ispartof
IEEE Transactions on Circuits and Systems I: Regular Papers
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dc.subject
Electrical and Electronic Engineering
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dc.title
A Low-Power Signal-Dependent Sampling Technique: Analysis, Implementation, and Applications
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
4334
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dc.description.endpage
4347
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dc.type.category
Original Research Article
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tuw.container.volume
67
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tuw.container.issue
12
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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wb.publication.intCoWork
International Co-publication
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tuw.researchTopic.id
I8
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tuw.researchTopic.name
Sensor Systems
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
IEEE Transactions on Circuits and Systems I: Regular Papers