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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F05%3APU50409%21RIV06-GA0-26220___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
We present the advanced natural gradient adaptation method for adapting coefficients of inverse filters for blind source separation. In this paper an advanced method of batch learning algorithm with convergence measurement using kurtosis is discussed forthe situation when two sources are delayed with respect to each other. We are interested in the two-channel case, in which we observe the outputs of a 2 x 2 linear time-invariant system. Real experimental results of acoustic source tests are shown and t the separation of speech and music signal is present here to validate the algorithm functionality. Příspěvek představuje vylepšenou adaptační metodu založenou na přirozeném gradientu, která adaptuje koeficienty inverzních filtrů v separaci zdrojů naslepo. Rozebíráme a na experimentu zde ověříme situaci dvou zdrojů a dvou výstupních signálů při separaci audio signálů. We present the advanced natural gradient adaptation method for adapting coefficients of inverse filters for blind source separation. In this paper an advanced method of batch learning algorithm with convergence measurement using kurtosis is discussed forthe situation when two sources are delayed with respect to each other. We are interested in the two-channel case, in which we observe the outputs of a 2 x 2 linear time-invariant system. Real experimental results of acoustic source tests are shown and t the separation of speech and music signal is present here to validate the algorithm functionality.
dcterms:title
Separace dvou časově zpožděných akustických signálů pomocí FIR filtrů Separation of Two Delayed Acoustic Sources Using FIR Filters Separation of Two Delayed Acoustic Sources Using FIR Filters
skos:prefLabel
Separation of Two Delayed Acoustic Sources Using FIR Filters Separation of Two Delayed Acoustic Sources Using FIR Filters Separace dvou časově zpožděných akustických signálů pomocí FIR filtrů
skos:notation
RIV/00216305:26220/05:PU50409!RIV06-GA0-26220___
n3:strany
280-285
n3:aktivita
n4:P n4:Z
n3:aktivity
P(GA102/04/1097), Z(MSM0021630513)
n3:dodaniDat
n9:2006
n3:domaciTvurceVysledku
n19:9491414
n3:druhVysledku
n8:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
542376
n3:idVysledku
RIV/00216305:26220/05:PU50409
n3:jazykVysledku
n6:eng
n3:klicovaSlova
Blind Source Separation, Natural Gradient, Speech Enhancement, Kurtosis
n3:klicoveSlovo
n13:Kurtosis n13:Natural%20Gradient n13:Blind%20Source%20Separation n13:Speech%20Enhancement
n3:kontrolniKodProRIV
[BDE461B54B37]
n3:mistoKonaniAkce
Smolenice
n3:mistoVydani
Bratislava, Slovak Republic
n3:nazevZdroje
Proceedings EC-SIP-M 2005
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n20:GA102%2F04%2F1097
n3:rokUplatneniVysledku
n9:2005
n3:tvurceVysledku
Eksler, Václav
n3:typAkce
n10:WRD
n3:zahajeniAkce
2005-06-29+02:00
n3:zamer
n14:MSM0021630513
s:numberOfPages
6
n16:hasPublisher
Slovenská technická univerzita v Bratislave
n12:isbn
80-227-2257-X
n18:organizacniJednotka
26220