Title :
Multichannel signal separation: methods and analysis
Author :
Yellin, Daniel ; Weinstein, Ehud
Author_Institution :
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
fDate :
1/1/1996 12:00:00 AM
Abstract :
The problem of multichannel signal separation has attracted considerable interest in recent literature. A variety of methods and criteria have been proposed to solve the problem based on statistical independence between the source signals. Most of these criteria involve the computation of high-order statistics of the observed signals. We present a unified framework for many of these criteria and analyze their statistical variance
Keywords :
higher order statistics; signal processing; telecommunication channels; high-order statistics; multichannel signal separation; observed signal; signal analysis; source signals; statistical independence; statistical variance; Filters; Frequency; Mercury (metals); Random processes; Random variables; Signal analysis; Signal processing; Source separation; Sufficient conditions;
Journal_Title :
Signal Processing, IEEE Transactions on