Detail publikace

Self-Orthogonalizing Adaptive Filter and its Application to Echo Cancellation

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

Vladimir Malenovsky, Ing.

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

1

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"
}