Adaptive echo suppression based on LabVIEW and C# implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244254" target="_blank" >RIV/61989100:27240/19:10244254 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896319326254" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896319326254</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.676" target="_blank" >10.1016/j.ifacol.2019.12.676</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive echo suppression based on LabVIEW and C# implementation
Original language description
This paper deals with the using of adaptive filtering in the area of telecommunication technology. The study focuses on the possibilities of design and implementation of adaptive filters based on virtual instrumentation in the LabVIEW development environment from the American company National Instruments. The selected adaptive algorithms (LMS, NLMS, RLS, QR-RLS) are implemented both in LabVIEW and C# programming language in the form of dynamically linked DLL (Dynamic-Link Library) libraries. The experiments test the reliability and speed of the implemented algorithms using them for the suppression of the echo in sound signal. Based on the findings from the implementation, a comparison of both options is made by evaluation of the computation time and improvement of signal-to-noise ratio (SNR). (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFAC-PapersOnLine. Volume 52, Issue 27
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
293-298
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
Vysoké Tatry
Event date
Oct 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000507495200050