Title :
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
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;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261616