Sensitivity to Basis Mismatch in Compressed Sensing

The theory of compressed sensing suggests that successful inversion of an image of the physical world (broadly defined to include speech signals, radar/sonar returns, vibration records, sensor array snapshot vectors, 2-D images, and so on) for its source modes and amplitudes can be achieved at measu...

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Veröffentlicht in:	IEEE transactions on signal processing 2011-05, Vol.59 (5), p.2182-2195
Hauptverfasser:	Yuejie Chi, Scharf, Louis L, Pezeshki, Ali, Calderbank, A Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Approximation Approximation methods Compressed Compressed sensing Detection Discrete Fourier transforms Errors Exact sciences and technology image inversion Image processing Information, signal and communications theory Mathematical analysis modal analysis Radar imaging Recovery Sampling, quantization sensitivity to basis mismatch Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Sonar Sparse matrices sparse recovery Sparsity Spectrum analysis Speech processing Studies Telecommunications and information theory
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