Publication detail

Self-Orthogonalizing Adaptive Filter and its Application to Echo Cancellation

Vladimir Malenovsky, Ing.

Original Title

Self-Orthogonalizing Adaptive Filter and its Application to Echo Cancellation

Type

conference paper

Language

English

Original Abstract

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.

Keywords

adaptive, algortihm, speech, echo, processing, orthogonalization, SOBAF

Authors

Vladimir Malenovsky, Ing.

RIV year

2005

Released

12. 11. 2005

Publisher

VUT Brno

Location

Brno

ISBN

80-214-3008-7

Book

Sborník příspěvků na IEEE Workshop Vršov 2005

Edition

1

Edition number

1

Pages from

12

Pages to

15

Pages count

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"
}