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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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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
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e-ISSN
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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