全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Modified Clipped LMS Algorithm

DOI: 10.1155/asp.2005.1229

Keywords: adaptive filter , LMS algorithm , clipped LMS algorithm , modified clipped LMS algorithm.

Full-Text   Cite this paper   Add to My Lib

Abstract:

A new algorithm is proposed for updating the weights of an adaptive filter. The proposed algorithm is a modification of an existing method, namely, the clipped LMS, and uses a three-level quantization (+1,0, ¢ ’1) scheme that involves the threshold clipping of the input signals in the filter weight update formula. Mathematical analysis shows the convergence of the filter weights to the optimum Wiener filter weights. Also, it can be proved that the proposed modified clipped LMS (MCLMS) algorithm has better tracking than the LMS algorithm. In addition, this algorithm has reduced computational complexity relative to the unmodified one. By using a suitable threshold, it is possible to increase the tracking capability of the MCLMS algorithm compared to the LMS algorithm, but this causes slower convergence. Computer simulations confirm the mathematical analysis presented.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133