Nonlinear echo cancellation using generalized power filters

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003438" target="_blank" >RIV/46747885:24220/15:#0003438 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scopus.com/record/display.uri?eid=2-s2.0-84959545034&origin=resultslist&sort=plf-f&src=s&st1=Nonlinear+Echo+Cancellation+using+Generalized+Power+Filters&st2=&sid=78DE9ACA07CFA6FF3C0DC1353B741796.y7ESLndDIsN8cE7qwvy6w%3a2" target="_blank" >http://www.scopus.com/record/display.uri?eid=2-s2.0-84959545034&origin=resultslist&sort=plf-f&src=s&st1=Nonlinear+Echo+Cancellation+using+Generalized+Power+Filters&st2=&sid=78DE9ACA07CFA6FF3C0DC1353B741796.y7ESLndDIsN8cE7qwvy6w%3a2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECMSM.2015.7208689" target="_blank" >10.1109/ECMSM.2015.7208689</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Nonlinear echo cancellation using generalized power filters

Popis výsledku v původním jazyce

This paper deals with the problem of nonlinear echo cancellation. One of the established approaches to this task is that of adaptive filtering using power filters. These filters model the unknown nonlinear system as a set of monomials, followed by a setof linear systems. The monomials are monotonously increasing functions useful for modeling nonlinearities such as soft-clipping, but only to a limited extent. We propose to replacing the monomials by a set of basis functions which resemble known real-world nonlinear distortions. Next, we propose performing the identification using the Multichannel Recursive Least Squares algorithm instead of the single-channel Normalized Least Mean Squares. In this way, the method can avoid the orthogonalization procedure used in the conventional power filter, thereby improving the reliability of the algorithm. We demonstrate the performance of the proposed algorithm in experiments with artificial and real-world data and compare it to several stateof- t

Název v anglickém jazyce

Nonlinear echo cancellation using generalized power filters

Popis výsledku anglicky

This paper deals with the problem of nonlinear echo cancellation. One of the established approaches to this task is that of adaptive filtering using power filters. These filters model the unknown nonlinear system as a set of monomials, followed by a setof linear systems. The monomials are monotonously increasing functions useful for modeling nonlinearities such as soft-clipping, but only to a limited extent. We propose to replacing the monomials by a set of basis functions which resemble known real-world nonlinear distortions. Next, we propose performing the identification using the Multichannel Recursive Least Squares algorithm instead of the single-channel Normalized Least Mean Squares. In this way, the method can avoid the orthogonalization procedure used in the conventional power filter, thereby improving the reliability of the algorithm. We demonstrate the performance of the proposed algorithm in experiments with artificial and real-world data and compare it to several stateof- t

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/GA14-11898S" target="_blank" >GA14-11898S: Zlepšování řečového signálu pomocí částečně slepých metod za použití pole mikrofonů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics, ECMSM 2015

ISBN

978-1-4799-6972-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

"neuvedeno"

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Liberec; Czech Republic

Místo konání akce

Liberec

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000363814500014