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Nonlinear echo cancellation using generalized power filters

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nonlinear echo cancellation using generalized power filters

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-11898S" target="_blank" >GA14-11898S: Semi-blind methods in speech enhancement with microphone arrays</a><br>

  • Continuities

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

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-1-4799-6972-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    "neuvedeno"

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Liberec; Czech Republic

  • Event location

    Liberec

  • Event date

    Jan 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000363814500014