Nonconvex compressed sensing with partially known signal support

Nonconvex compressed sensing with partially known signal support

We study recovering sparse and compressible signals using lp minimization with p

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Veröffentlicht in:Signal processing 2013-01, Vol.93 (1), p.338-344
Hauptverfasser: Ince, Taner, Nacaroglu, Arif, Watsuji, Nurdal
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Compressed
Compressed sensing
Detection
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Exposure
Information, signal and communications theory
lp minimization
Minimization
Optimization
Partially known support
Reconstruction
Recovering
Restricted Isometry Property (RIP)
Sampling, quantization
Signal and communications theory
Signal processing
Signal, noise
Sparse signal recovery
Telecommunications and information theory
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Beschreibung
Zusammenfassung:We study recovering sparse and compressible signals using lp minimization with p
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2012.07.011