Empirical recovery performance of fourier-based deterministic compressed sensing
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Li, Ying
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Abstract
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. Mathematically, measuring an N-dimensional signal...
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Keywords
Compressed sensing, Noisy compressed sensing, Haar wavelet transform, Chirp sensing codes, Orthogonal matching pursuit algorithm