Eigenstructure-based blind identification of independent signals

Author

Tong, Lang ; Inouye, Yujiro ; Liu, Rueywen

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

3329

Abstract

An identifiability result for the blind identification of memoryless channels with independent sources is presented. The necessary and sufficient conditions which were obtained by investigating the eigenstructure inherited in the observation cumulants are given. An eigenstructure-based algorithm is proposed to achieve the identification of the parameter matrix whenever such identification is possible. It is shown that the source signals can be extracted up to scale factors and a permutation if and only if all the source signals, but one, are non-Gaussian

Keywords

eigenvalues and eigenfunctions; identification; signal processing; telecommunication channels; blind identification; eigenstructure algorithm; independent signals; independent sources; memoryless channels; nonGaussian signals; observation cumulants; parameter matrix; signal processing; source signals; sufficient conditions; Additive noise; Computational modeling; Control engineering; Convergence; Iterative algorithms; Signal processing; Signal processing algorithms; Statistics; Tensile stress; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150166

Filename

150166