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
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.111981
