Title :
Estimating equations for source separation
Author :
Cardoso, Jean-Francois
Author_Institution :
Dept. Signal, Ecole Nat. Superieure des Telecommun., Paris, France
Abstract :
This paper proposes a unifying view of source separation via the concepts of `estimating function´ and `estimating equation´. We exhibit the estimating functions corresponding to various known techniques like ICA, JADE, infomax, maximum likelihood, cumulant matching, etc... We also show how equivariant batch and adaptive algorithms stem from each particular estimating function and discuss their stability and asymptotic performance
Keywords :
adaptive estimation; adaptive signal processing; array signal processing; asymptotic stability; higher order statistics; maximum likelihood estimation; ICA; JADE; adaptive algorithms; asymptotic performance; cumulant matching; equivariant batch algorithms; estimating equations; estimating functions; independent component analysis; infomax; maximum likelihood estimation; source separation; stability; Adaptive algorithm; Asymptotic stability; Density measurement; Equations; Independent component analysis; Maximum likelihood estimation; Probability density function; Source separation; World Wide Web; Yield estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604606
