Simulated Annealing, High-Order Statistics and Mutual Information for Separation of Sources


Autoria(s): Solé-Casals, Jordi; Puntonet, Carlos G.; Rojas, I.
Contribuinte(s)

Universitat de Vic. Escola Politècnica Superior

Universitat de Vic. Grup de Recerca en Tecnologies Digitals

Simposium de la Unión Científica Internacional de Radio (XVIè : 2001 : Madrid )

URSI 2001

Data(s)

2001

Resumo

In this article, the fusion of a stochastic metaheuristic as Simulated Annealing (SA) with classical criteria for convergence of Blind Separation of Sources (BSS), is shown. Although the topic of BSS, by means of various techniques, including ICA, PCA, and neural networks, has been amply discussed in the literature, to date the possibility of using simulated annealing algorithms has not been seriously explored. From experimental results, this paper demonstrates the possible benefits offered by SA in combination with high order statistical and mutual information criteria for BSS, such as robustness against local minima and a high degree of flexibility in the energy function.

Formato

2 p.

Identificador

http://hdl.handle.net/10854/2783

Idioma(s)

eng

Direitos

Aquest document està subjecte a una llicència Creative Commons:

Palavras-Chave #Separació (Tecnologia)
Tipo

info:eu-repo/semantics/conferenceObject