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Communication Dans Un Congrès Année : 2011

Blind extraction of sparse components based on L0-norm minimization

Résumé

We investigate the application of cost functions based on the L0-norm to the problem of blind source extraction (BSE). We show that if the sources have different levels of sparsity, then the minimization of the L0-norm leads to the extraction of the sparsest component even when the sources are statistically dependent. We also study the conditions guaranteeing BSE when an approximation of the ℓ0-norm is considered. Finally, we provide a numerical example to illustrate the applicability of our proposal.
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Dates et versions

hal-00605697 , version 1 (04-07-2011)

Identifiants

  • HAL Id : hal-00605697 , version 1

Citer

Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Joao M. T. Romano, Christian Jutten. Blind extraction of sparse components based on L0-norm minimization. SSP 2011 - 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.617-621. ⟨hal-00605697⟩
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