Greedy signal space methods for incoherence and beyond
نویسندگان
چکیده
منابع مشابه
Greedy Signal Space Methods for incoherence and beyond
ABSTRACT. Compressive sampling (CoSa) has providedmany methods for signal recovery of signals compressible with respect to an orthonormal basis. However, modern applications have sparked the emergence of approaches for signals not sparse in an orthonormal basis but in some arbitrary, perhaps highly overcomplete, dictionary. Recently, several “signal-space” greedymethods have been proposed to ad...
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Compressive sensing (CS) is a new signal acquisition paradigm which shows that far fewer samples are required to reconstruct sparse signals than previously thought. Although most of the literature focuses on signals sparse in a fixed orthonormal basis, recently the Signal Space CoSaMP (SSCoSaMP) greedy method was developed for the reconstruction of signals compressible in arbitrary redundant di...
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Compressive sampling (CoSa) is a new methodology which demonstrates that sparse signals can be recovered from a small number of linear measurements. Greedy algorithms like CoSaMP have been designed for this recovery, and variants of these methods have been adapted to the case where sparsity is with respect to some arbitrary dictionary rather than an orthonormal basis. In this work we present an...
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ژورنال
عنوان ژورنال: Applied and Computational Harmonic Analysis
سال: 2015
ISSN: 1063-5203
DOI: 10.1016/j.acha.2014.07.004