Waveform-preserving blind estimation of multiple sources

Author

Tong, L. ; Soon, V.C. ; Inouye, Y. ; Huang, Y. ; Liu, R.

Author_Institution

Dept. of ECE, West Virginia Univ., Morgantown, WV, USA

fYear

1991

fDate

11-13 Dec 1991

Firstpage

2388

Abstract

Some fundamental theoretical results in waveform-preserving blind estimation of multiple sources (estimation of vector source signals from observations without knowledge of the characteristics of the transmission channel) are presented. It is shown that the central issue for blind signal estimation and blind channel identification is the identifiability of the transmission channel. Necessary and sufficient conditions of blind channel identifiability are given for the model of independent and uncorrelated sources. The results obtained serve as the foundation for the development of a waveform-preserving blind signal estimation algorithm

Keywords

signal processing; blind channel identifiability; independent sources; multiple sources; necessary and sufficient conditions; uncorrelated sources; vector source signals; waveform-preserving blind estimation; Array signal processing; Distortion; Estimation; Sensor arrays; Signal processing; Signal processing algorithms; Signal restoration; Speech; Sufficient conditions; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1991., Proceedings of the 30th IEEE Conference on

Conference_Location

Brighton

Print_ISBN

0-7803-0450-0

Type

conf

DOI

10.1109/CDC.1991.261616

Filename

261616