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A class of variable step-size NLMS and affine projection algorithms suitable for echo cancellation [articol]

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dc.contributor.author Paleologu, Constantin
dc.contributor.author Ciochină, Silviu
dc.date.accessioned 2020-04-09T05:56:39Z
dc.date.accessioned 2021-03-01T08:42:37Z
dc.date.available 2020-04-09T05:56:39Z
dc.date.available 2021-03-01T08:42:37Z
dc.date.issued 2008
dc.identifier.citation Paleologu, Constantin. A class of variable step-size NLMS and affine projection algorithms suitable for echo cancellation. Timişoara: Editura Politehnica, 2008 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,A%20class%20of%20variable%20step-size%20NLMS%20and%20affine%20projection%20algorithms%20suitable%20for%20echo%20cancellation&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract The normalized least-mean-square (NLMS) algorithm and the affine projection algorithm (APA) are the most common choices for echo cancellation. In this type of application, an adaptive algorithm with a constant step-size has to compromise between several performance criteria (e.g., high convergence rate versus low misadjustment). In this paper we present a class of variable step-size NLMS and APAs, which are designed to recover the near-end signal in the error of the adaptive filter. The simulation results indicate a robust behaviour of these algorithms against different types of near-end signal variations, including double-talk. en_US
dc.language.iso en en_US
dc.publisher t en_US
dc.relation.ispartofseries Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008)
dc.subject Adaptive filtering en_US
dc.subject Affine projection algorithm (APA) en_US
dc.subject Echo cancellation en_US
dc.subject Normalize least-mean-square (NLMS) en_US
dc.subject Variable step-size en_US
dc.title A class of variable step-size NLMS and affine projection algorithms suitable for echo cancellation [articol] en_US
dc.type Article en_US


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