Sparse LMS with segment zero attractors for adaptive estimation of sparse signals


Adaptive sparse signal estimation is needed for obtaining accurate channel knowledge in communication systems where the system response can be assumed to contain many near-zero coefficients. For sparse filter design, the zero-attracting LMS (ZA-LMS) incorporates the l1 norm penalty function into the quadratic LMS cost function to promote the sparseness… (More)
DOI: 10.1109/APCCAS.2010.5774742


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