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| rdf:type
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| Description
| - V současné době se v telekomunkační praxi často setkáváme s aplikacemi, ve kterých hrají klíčovou roli adaptivní algoritmy. Mezi nejčastěji používané metody patří zejména LMS a RLS, tedy lineární metody. První z algoritmů je výpočetně nenáročný, strukturálně jednoduchý, ale nevykazuje nejlepší konvergenční vlastnosti. U RLS je tomu naopak - je to metoda sofistikovanější s většími nároky kladenými na výpočetní schopnosti signálových procesorů, která ovšem poskytuje výrazně lepší konvergenční vlastnosti. Cílem našeho výzkumu bylo nalezení algoritmu, který by byl určitým kompromisem mezi výpočetní náročností a rychlostí konvergence. Snažili jsme se o návrh algoritmu nelineárního vzhledem k nutnosti nasazení v nestacionárním prostředí a v prostředí s exc itací řečového charakteru. Základním úkolem bylo srovnání nově navržené metody s metodami klasickými a provedení experimentů se signály z reálného prostředí. K tomuto účelu bylo nutno provést řadu simulací v prostředí Matlab s využitím nahrávek signálů z (cs)
- In the recent decades developers of telecommunication systems have adopted NLMS (Normalized Least/Mean Square), a simple but efficient adaptive algortihm, as a preferred method for noise cancellation. In 1993 ITU-T standardized the basic properties and criteria for acoustic echo cancellers through their recommendation G.167 and in 1997 they did the same for line-echo cancellers. Since then, however, each of these documents has been through various updates, and their development is still not over. In thee context of these recommendations some researchers also tried to employ other alternatives to the NLMS adaptive algorithm, such as FLMS, FTF, GAL, etc. This article discusses an algorithm named DCT-LMS (Discrete Cosine Tranform - Least Mean Square), which has an advantage over the conventional NLMS in that it first %22whitens%22 input speech samples before applying them to the basic mean-square estimator. By doing so, the NLMS should exhibit an improved convergence rate and a lower level of residual error.
- In the recent decades developers of telecommunication systems have adopted NLMS (Normalized Least/Mean Square), a simple but efficient adaptive algortihm, as a preferred method for noise cancellation. In 1993 ITU-T standardized the basic properties and criteria for acoustic echo cancellers through their recommendation G.167 and in 1997 they did the same for line-echo cancellers. Since then, however, each of these documents has been through various updates, and their development is still not over. In thee context of these recommendations some researchers also tried to employ other alternatives to the NLMS adaptive algorithm, such as FLMS, FTF, GAL, etc. This article discusses an algorithm named DCT-LMS (Discrete Cosine Tranform - Least Mean Square), which has an advantage over the conventional NLMS in that it first %22whitens%22 input speech samples before applying them to the basic mean-square estimator. By doing so, the NLMS should exhibit an improved convergence rate and a lower level of residual error. (en)
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| Title
| - Implementation of the DCT-LMS Algorithm for Acoustic Echo Cancellation and its efficiency
- Implementace DCT-LMS algoritmu pro potlacovani akustickeho echa a jeho ucinnost (cs)
- Implementation of the DCT-LMS Algorithm for Acoustic Echo Cancellation and its efficiency (en)
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| skos:prefLabel
| - Implementation of the DCT-LMS Algorithm for Acoustic Echo Cancellation and its efficiency
- Implementace DCT-LMS algoritmu pro potlacovani akustickeho echa a jeho ucinnost (cs)
- Implementation of the DCT-LMS Algorithm for Acoustic Echo Cancellation and its efficiency (en)
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| skos:notation
| - RIV/00216305:26220/05:PU52362!RIV06-GA0-26220___
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| http://linked.open.../vavai/riv/strany
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| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| - P(1ET301710509), P(GA102/04/1097)
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/05:PU52362
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - adaptive, algortihm, speech, echo, processing, orthogonalization, DCT-LMS, (en)
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| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - Proceedings EC-SIP-M, 5th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services
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| 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
| - Koula, Ivan
- Malenovský, Vladimír
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - Slovenská technická univerzita v Bratislave
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
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