Compressive Sensing with Highly Coherent Dictionaries

Abstract

Compressive sensing is an emerging field based on the discovery that sparse signals and images can be reconstructed from highly incomplete information. Conventional approaches follow Shannons theorem, which states that the sampling rate must be twice the maximum frequency present in the signal. In the case that the sensing matrix is highly coherent, which… (More)

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