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  • 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.
  • 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. (en)
  • 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. (cs)
Title
  • Separation of Two Delayed Acoustic Sources Using FIR Filters
  • Separace dvou časově zpožděných akustických signálů pomocí FIR filtrů (cs)
  • Separation of Two Delayed Acoustic Sources Using FIR Filters (en)
skos:prefLabel
  • Separation of Two Delayed Acoustic Sources Using FIR Filters
  • Separace dvou časově zpožděných akustických signálů pomocí FIR filtrů (cs)
  • Separation of Two Delayed Acoustic Sources Using FIR Filters (en)
skos:notation
  • RIV/00216305:26220/05:PU50409!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 280-285
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/04/1097), Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 542376
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU50409
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Blind Source Separation, Natural Gradient, Speech Enhancement, Kurtosis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BDE461B54B37]
http://linked.open...v/mistoKonaniAkce
  • Smolenice
http://linked.open...i/riv/mistoVydani
  • Bratislava, Slovak Republic
http://linked.open...i/riv/nazevZdroje
  • Proceedings EC-SIP-M 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Eksler, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Slovenská technická univerzita v Bratislave
https://schema.org/isbn
  • 80-227-2257-X
http://localhost/t...ganizacniJednotka
  • 26220
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