Compressive sensing of analog signals using discrete prolate spheroidal sequences
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Publication:448495
DOI10.1016/j.acha.2012.02.005zbMath1261.94016arXiv1109.3649OpenAlexW2962761750MaRDI QIDQ448495
Michael B. Wakin, Mark A. Davenport
Publication date: 6 September 2012
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1109.3649
samplingsignal recoveryFourier analysisgreedy algorithmscompressive sensingblock-sparsitydiscrete prolate spheroidal sequencesmultiband signalssparse approximations
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items
The fast Slepian transform, Approximating sampled sinusoids and multiband signals using multiband modulated DPSS dictionaries, Improved bounds for the eigenvalues of prolate spheroidal wave functions and discrete prolate spheroidal sequences, Spectral compressive sensing, Discrete prolate spheroidal wave functions: further spectral analysis and some related applications, Structured random measurements in signal processing, Near oracle performance and block analysis of signal space greedy methods, Greedy signal space methods for incoherence and beyond
Uses Software
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