@inproceedings{1cbb06434a7843929003e120c608fb34,
title = "A low complexity fast converging partial update adaptive algorithm employing variable step-size for acoustic echo cancellation",
abstract = "Partial update adaptive algorithms have been proposed as a means of reducing complexity for adaptive filtering. The MMax tap-selection is one of the most popular tap-selection algorithms. It is well known that the performance of such partial update algorithm reduces with reducing number of filter coefficients selected for adaptation. We propose a low complexity and fast converging adaptive algorithm that exploits the MMax tap-selection. We achieve fast convergence with low complexity by deriving a variable step-size for the MMax normalized least-mean-square (MMax-NLMS) algorithm using its mean square deviation. Simulation results verify that the proposed algorithm achieves higher rate of convergence with lower computational complexity compared to the NLMS algorithm.",
keywords = "Acoustic echo cancellation, Adaptive algorithms, Partial update adaptive filtering, Variable step-size",
author = "Khong, \{Andy W.H.\} and Gan, \{Woon Seng\} and Naylor, \{Patrick A.\} and Mike Brookes",
year = "2008",
doi = "10.1109/ICASSP.2008.4517590",
language = "English",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "237--240",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}