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Affine scaling transformation algorithms for harmonic retrieval in a compressive sampling framework
2007
Wavelets XII
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