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...
Main Authors: | , , |
---|---|
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 |