Robust Sparse Component Analysis Based on a Generalized Hough Transform

An algorithm called Hough SCA is presented for recovering the matrix A in x(t)=As(t), where x(t) is a multivariate observed signal, possibly is of lower dimension than the unknown sources s(t). They are assumed to be sparse in the sense that at every time instant t, s(t) has fewer nonzero elements t...

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Bibliographic Details
Main Authors: Andrzej Cichocki, Fabian J. Theis, Pando Georgiev
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/52105