Interference-Normalised Least Mean Square Algorithm
Systems and Control
2016-02-29 v1 Sound
Abstract
An interference-normalised least mean square (INLMS) algorithm for robust adaptive filtering is proposed. The INLMS algorithm extends the gradient-adaptive learning rate approach to the case where the signals are non-stationary. In particular, we show that the INLMS algorithm can work even for highly non-stationary interference signals, where previous gradient-adaptive learning rate algorithms fail.
Cite
@article{arxiv.1602.08116,
title = {Interference-Normalised Least Mean Square Algorithm},
author = {Jean-Marc Valin and Iain B. Collings},
journal= {arXiv preprint arXiv:1602.08116},
year = {2016}
}
Comments
4 pages