On the Foundation of Sparsity Constrained Sensing- Part I: Sampling Theory and Robust Remainder Problem

In the first part of the series papers, we set out to answer the following fundamental question: for constrained sampling, what kind of signal can be uniquely represented or recovered by the (distributed) discrete sample sequence(s) obtained? We term this study as sparsity constrained sensing or spa...

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Vydané v:	IEEE transactions on signal processing Ročník 71; s. 1263 - 1276
Hlavní autori:	Xiao, Hanshen, Zhang, Yaowen, Zhou, Beining, Xiao, Guoqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Cathode ray tubes co-prime sampling/array Complexity Compressed sensing CRT signal parameter estimation Decoding Direction of arrival Estimation Frequency estimation Mathematical models Noise measurement Parameter estimation Representations Robustness Sampling Sensors Sparsity Sparsity constrained sensing undersampling theory Waveforms
ISSN:	1053-587X, 1941-0476
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