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Title:
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Simulated Annealing, High-Order Statistics and Mutual Information for Separation of Sources
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Author:
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Solé-Casals, Jordi; Puntonet, Carlos G.; Rojas, I.
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Other authors:
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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 |
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Notes:
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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. |
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Subject(s):
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-Separació (Tecnologia) |
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Rights:
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Aquest document està subjecte a aquesta llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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Document type:
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Conference Object |
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