Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)

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Analysis of LMS Algorithm in Wavelet Domain

Authors
Pankaj Goel, Sonam Rai, Mahesh Chandra, V.K. Gupta
Corresponding Author
Pankaj Goel
Available Online April 2013.
Abstract

In this paper Time Domain Least Mean Square (LMS) algorithm and Wavelet Transform Domain Least Mean Square (WDLMS) algorithm with Daubechies wavelets are used to minimize the undesired noise from speech signals. The performance of this algorithm using different Daubechies wavelets db1, db5 and db10 are evaluated in presence of car noise at different signal to noise ratio (SNR) levels. WDLMS algorithm performed better than LMS algorithm at all SNRs for Daubechies wavelets at different vanishing moments.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
null
ISSN
1951-6851
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Pankaj Goel
AU  - Sonam Rai
AU  - Mahesh Chandra
AU  - V.K. Gupta
PY  - 2013/04
DA  - 2013/04
TI  - Analysis of LMS Algorithm in Wavelet Domain
BT  - Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6407
ID  - Goel2013/04
ER  -