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Affine scaling transformation algorithms for harmonic retrieval in a compressive sampling framework

2007
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Wavelets XII
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In this paper we investigate the use of the Affine Scaling Transformation (AST) family of algorithms in solving the sparse signal recovery problem of harmonic retrieval for the DFT-grid frequencies case. We present the problem in the more general Compressive Sampling/Sensing (CS) framework where any set of incomplete, linearly independent measurements can be used to recover or approximate a sparse signal. The compressive sampling problem has been approached mostly as a problem of ℓ 1 norm

doi:10.1117/12.735139
fatcat:7acmaokacnc33e56cg7ieau5oi