Title :
Blind signal separation using prior information
Author :
Zaderykhin, O. ; Shulgin, Vyacheslav
Abstract :
This article discusses the Bayesian approach to the problem of blind signal separation. Problem of incorporating prior information into a source model was discussed in this paper. The advantage of the separation algorithm, which uses a priori information, was investigated experimentally.
Keywords :
belief networks; blind source separation; Bayesian approach; blind signal separation algorithm; prior information; source model; Abdomen; Adaptive algorithm; Bayesian methods; Blind source separation; Electrocardiography; Gaussian distribution; Independent component analysis; Matrices; Probability density function; Stochastic processes; Bayesian approach; abdominal ECG; blind signal separation; independent component analysis;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-966-553-875-2
Electronic_ISBN :
978-966-553-901-8
