Comparison of the LMS, NLMS, RLS, and QR-RLS algorithms for vehicle noise suppression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241633" target="_blank" >RIV/61989100:27240/18:10241633 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/325751314_Comparison_of_the_LMS_NLMS_RLS_and_QR-RLS_algorithms_for_vehicle_noise_suppression" target="_blank" >https://www.researchgate.net/publication/325751314_Comparison_of_the_LMS_NLMS_RLS_and_QR-RLS_algorithms_for_vehicle_noise_suppression</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3177457.3177502" target="_blank" >10.1145/3177457.3177502</a>

Result language
angličtina
Original language name
Comparison of the LMS, NLMS, RLS, and QR-RLS algorithms for vehicle noise suppression
Original language description
The paper deals with the speech processing and adaptive filtration. For the analysis we used application implemented in both online and offline mode in LabVIEW. The experiments included comparison of the noise caused by electric car and diesel car which was measured and analyzed by means of Microphones NI 9234 and our application. We tested four different adaptive filters to cancel the noise and compared their efficiency. The criterion for comparing the efficiency of individual algorithms is primarily to increase the global signal to noise ratio (GSNR). (C) 2018 Association for Computing Machinery.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACM International Conference Proceeding Series 2018
ISBN
978-1-4503-6339-6
ISSN
—
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
23-27
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Sydney
Event date
Jan 8, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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