Publication result detail

Comparison of LMS- and RLS-based adaptive algorithms for speech enhancement

MALENOVSKÝ, V.

Original Title

Comparison of LMS- and RLS-based adaptive algorithms for speech enhancement

English Title

Comparison of LMS- and RLS-based adaptive algorithms for speech enhancement

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

In speech communication areas, such as hands-free mobile telephones, teleconferencing, room acoustics or long-distance telephony, we often come into a situation, where we have to face problems with noise. This article deals with the analysis of most important LMS- and RLS-based adaptive algorithms for noise cancellation in speech signals. The stress lays mainly on explanation of the methodology of each algorithm, their inherent computational complexity and the comparison between them. For testing purposes, a number of car-cockpit experiments were conducted under real conditions to reveal the "DSP" properties of all algorithms.

English abstract

In speech communication areas, such as hands-free mobile telephones, teleconferencing, room acoustics or long-distance telephony, we often come into a situation, where we have to face problems with noise. This article deals with the analysis of most important LMS- and RLS-based adaptive algorithms for noise cancellation in speech signals. The stress lays mainly on explanation of the methodology of each algorithm, their inherent computational complexity and the comparison between them. For testing purposes, a number of car-cockpit experiments were conducted under real conditions to reveal the "DSP" properties of all algorithms.

Keywords

LMS, RLS, adaptive filtering, adaptive algortihm, speech enhancement, noise suppression, noise cancellation, DSP, signal processing, implementation, application

Key words in English

LMS, RLS, adaptive filtering, adaptive algortihm, speech enhancement, noise suppression, noise cancellation, DSP, signal processing, implementation, application

Authors

MALENOVSKÝ, V.

Released

01.11.2002

ISBN

1213-161X

Periodical

ElectronicsLetters.com - http://www.electronicsletters.com

Volume

2002

Number

#1/11/2002

State

Czech Republic

Pages from

1

Pages count

10

URL

http://www.electronicsletters.com/papers/2002/0015/paper.asp

BibTex

@article{BUT40704,
  author="Vladimír {Malenovský}",
  title="Comparison of LMS- and RLS-based adaptive algorithms for speech enhancement",
  journal="ElectronicsLetters.com - http://www.electronicsletters.com",
  year="2002",
  volume="2002",
  number="#1/11/2002",
  pages="10",
  issn="1213-161X",
  url="http://www.electronicsletters.com/papers/2002/0015/paper.asp"
}