Paper Info
Title
Blind Source Separation of Continuous-Time Chaotic Signals Based on Fast Random Search Algorithm
Abstract
Blind source separation (BSS) of continuous-time chaotic signals from a linear mixture is addressed in this brief. It is assumed that the functional forms of the generating systems of chaotic signals are known, and the parameters of the generating systems and the mixture matrix are unknown. The problem of determining the parameters and the mixture matrix is formulated as an optimization one. A fast random search (FRS) algorithm is, therefore, proposed. Experimental results demonstrate that the FRS algorithm can solve the indeterminacy problem in BSS and show the separability of mixed signals in a high noise background.
Year
DOI
Venue
2010
10.1109/TCSII.2010.2047325
IEEE Trans. on Circuits and Systems
Keywords
Field
DocType
optimisation,mixture matrix,chaotic signal,frs algorithm,mixed signals,indeterminacy problem,chaotic communication,continuous-time chaotic signals,generating system,blind source separation (bss),continuous-time chaotic signal,fast random search,linear mixture,fast random search algorithm,optimization,blind source separation,fast random search (frs),high noise background,signal generators,helium,random search,background noise,functional form,signal processing
Signal processing,Random search,Background noise,Matrix (mathematics),Control theory,Algorithm,Speech recognition,Chaotic,Blind signal separation,Mathematics,Indeterminacy problem,Source separation
Journal
Volume
Issue
ISSN
57
6
1549-7747
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Zangbo Xie100.34
Jiuchao Feng213317.84