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Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm

delete2010-01-01
delete12
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OA
AI
L
Leonardo Tomazeli Duarte *
B
Bertrand Rivet
DOI:10.1109/LSP.2009.2032983delete
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Abstract

Abstract

En 中文
We propose a novel blind source separation method tailored for retrieving baseband signals having different bandwidths. Such a configuration is characterized by the existence of inactive bands in the frequency domain. By exploiting the eigenstructure of the mixtures covariance matrix calculated in these inactive bands, we develop a simple yet efficient extraction procedure that works in an ordered fashion, in which the sources are extracted according to their degree of smoothness. Numerical results attest the viability of the proposal.
Keywords:
Blind source separation
frequency-domain approach
silent bands
smooth signals
source extraction

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

C
communaute universite grenoble alpes
Scholars:
3.5W
Papers: 2.7W
Citations: 29