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dc.contributor.authorLuengo García, David
dc.contributor.authorSantamaría Caballero, Luis Ignacio 
dc.contributor.authorVielva Martínez, Luis Antonio 
dc.contributor.authorIbáñez Díaz, Jesús María 
dc.contributor.authorPantaleón Prieto, Carlos J.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-09-26T12:48:34Z
dc.date.available2013-09-26T12:48:34Z
dc.date.issued2003-09
dc.identifier.urihttp://hdl.handle.net/10902/3441
dc.description.abstractWe consider the blind identification of FIR channels with a single input and multiple outputs when the input signal is sparse. The problem is equivalent to identifying the mixing matrix for underdetermined blind source separation, but with temporal correlation among the sources. The length of each channel is assumed known, or previously estimated. Exploiting the sparse character of the input signal, the algorithm solves sequentially the three identification problems: estimating the directions of each column of the channel matrix; estimating their L₂-norm; and finding the most likely order of the columns. The performance of the algorithm in additive noise and its computational cost are compared against subspace-based techniques.es_ES
dc.format.extent4 p.es_ES
dc.language.isospaes_ES
dc.rights© 2003 URSI Españaes_ES
dc.sourceURSI 2003, XVIII Simposium Nacional de la Unión Científica Internacional de Radio, La Coruñaes_ES
dc.titleIdentificación ciega de sistemas SIMO con señal de entrada dispersaes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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