subspace pursuit for compressive sensing signal re
2016-08-23
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We propose a new method for reconstruction of sparse signals with and without noisy perturbations, termed the
subspace pursuit algorithm. The algorithm has two important characteristics: low computational complexity, comparable to
that of orthogonal matching pursuit techniques when applied to very sparse signals, and reconstruction accuracy of the same
order as that of LP optimization methods.
subspace pursuit algorithm. The algorithm has two important characteristics: low computational complexity, comparable to
that of orthogonal matching pursuit techniques when applied to very sparse signals, and reconstruction accuracy of the same
order as that of LP optimization methods.
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