Title :
A neural network approach to blind identification of stochastic and deterministic signals
Author :
Tianping Chen ; Chen, Tianping
Author_Institution :
Dept. of Math., Fudan Univ., Shanghai, China
fDate :
31 Oct-2 Nov 1994
Abstract :
The paper presents a neural network approach to the problem of blind identification of random and deterministic signals. New criteria for blind identification are proposed, which forms the basis of this neural computation method. Simulation results using this method are also presented
Keywords :
identification; neural nets; random processes; signal processing; stochastic processes; blind identification; deterministic signals; neural computation method; neural network; random signals; simulation results; stochastic signals; Additive noise; Laboratories; Mathematics; Neural networks; Parameter estimation; Signal processing; Source separation; Stochastic processes; Terminology; Very large scale integration;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471589
