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A Canonical Genetic Algorithm for Blind Inversion of Linear Channels
Rojas, Fernando; Solé-Casals, Jordi; Monte-Moreno, Enric; Puntonet, Carlos G.; Prieto, Alberto
Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Grup de Recerca en Tecnologies Digitals; International Conference on Independent Component Analysis and Blind Signal Separation ( 6ena : 2006 : Charleston)
It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.
Tractament del senyal
(c) Springer (The original publication is available at
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8 p.

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