Descripción
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In this paper, we analyze the conventional Block- Least-Mean-Square (BLMS) algorithm. Usual constraints such as real input data, steady-state analysis and positive adaptive stepsize parameter are discarded. Some modifications are introduced in order that the new complex frequency-domain BLMS algorithm equals the former versions in case any of the constraints are imposed. Furthermore, if the steady-state analysis is considered, the proposed algorithm avoids the inversion of the autocorrelation matrix of the transformed input. | |
Internacional
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Si |
Nombre congreso
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IECON 2009 |
Tipo de participación
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960 |
Lugar del congreso
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Oporto (Portugal) |
Revisores
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Si |
ISBN o ISSN
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1553-572X |
DOI
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10.1109/IECON.2009.5415194 |
Fecha inicio congreso
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03/11/2009 |
Fecha fin congreso
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05/11/2009 |
Desde la página
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3371 |
Hasta la página
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3374 |
Título de las actas
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- |