Analysis of LMS Algorithm in Wavelet Domain
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.
- © 2013, the Authors. Published by Atlantis Press.
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- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
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 -