Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
Vladimir Malenovsky, Ing.
Originální název
Self-Orthogonalizing Adaptive Filter and its Application to Echo Cancellation
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In the recent decades developers of telecommunication systems have adopted NLMS (Normalized Least/Mean Square), a simple but efficient adaptive algortihm, as a preferred method for noise cancellation. This article discusses an algorithm named SOBAF (Self Orthogonalizing Block Adaptive Filter), which has an advantage over the conventional NLMS in that it first "whitens" input speech sample before applying them to the basic mean-square estimator. By doing so, the adaptive process should exhibit an improved convergence rate and a lower level of residual error. In order to decrease the computational complexity of the "whitening" operation a DCT transform is utilized which, in turn, is calculated recursively.
Klíčová slova
adaptive, algortihm, speech, echo, processing, orthogonalization, SOBAF
Autoři
Rok RIV
2005
Vydáno
12. 11. 2005
Nakladatel
VUT Brno
Místo
Brno
ISBN
80-214-3008-7
Kniha
Sborník příspěvků na IEEE Workshop Vršov 2005
Edice
1
Číslo edice
Strany od
12
Strany do
15
Strany počet
4
BibTex
@inproceedings{BUT15146, author="Vladimír {Malenovský}", title="Self-Orthogonalizing Adaptive Filter and its Application to Echo Cancellation", booktitle="Sborník příspěvků na IEEE Workshop Vršov 2005", year="2005", series="1", volume="2", number="1", pages="4", publisher="VUT Brno", address="Brno", isbn="80-214-3008-7" }