DocumentCode
2617065
Title
AMUSE: a new blind identification algorithm
Author
Tong, L. ; Soon, V.C. ; Huang, Y.F. ; Liu, R.
Author_Institution
Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
1784
Abstract
The mathematical formulation of the blind identification problem is presented. Various theoretical properties are discussed. The AMUSE algorithm is derived on the basis of the necessary condition of source identifiability and shown to have good performance and wide application
Keywords
identification; random noise; signal processing; AMUSE algorithm; blind identification algorithm; mathematical formulation; source identifiability; theoretical properties; Additive noise; Application software; Array signal processing; Equations; Filtering; Maximum likelihood estimation; Neurons; Signal processing; Signal processing algorithms; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.111981
Filename
111981
Link To Document