動態式最小均方演算法於回音消除之研究與實作

A Study and Implementation on Echo Canceller with Dynamic Least Mean Square Algorithm

王凱生(Kae-Sheng Wang)

指導教授 ： 黃紹華

國立臺北科技大學/電資學院/電機工程系研究所/碩士(2007年)

摘要

本論文針對通訊裝置之回音通道，提出一種改良式回音消除之演算法, 稱之為動態式最小均方演算法。藉由對回音特性與最小均方演算法行為，將適應性濾波器之係數做分組合併，以簡化系統係數參與數量，以降低最小均方演算法計算量適應性疊代運算。

關鍵字

適應性濾波器 ； 最小均方演算法 ； 回音消除器

並列摘要

The Dynamic Least Mean Square(DLMS) algorithm was proposed to cancel echo under communication device. In this approach, the computation is reduced and the performance is still without decrease. In the LMS algorithm of echo cancellation, the Adaptive Filter’s coefficient has characteristic of groups which is almost equal and no change after convergence. Thus, these grouped coefficients can be simplified to reduce the computation of LMS. The experimental result confirms the good performance of DLMS approach.

並列關鍵字

Adaptive Filter ； Least Mean Square ； Echo Canceller

參考文獻

[1] Edwin K. P. Chong and Stanislaw H. Zak, An Introduction to Optimization, 2nd ed, John Wiley & Sons, 2001.

[2] Farhang Boroujeng, Adaptive Filters Theory and Applications. West Sussex, England, John Wiley & Sons, 1998.

[3] Peyton Z. Peebles Jr, Probability Random Variables and Random Signal Principle 4th ed, McGraw-Hill,2001.

[5] Eberhard Hansler, “Acoustic Echo Control,” IEEE Signal Processing Magazine, July 1999, pp.42-69.

[7] Y. F. Cheng and D. M. Etter, “Analysis of an Adaptive technique for modeling sparse systems,” IEEE Trans. Acoustic, Speech, Signal Processing, vol. 37, no. 2, Feb 1989, pp.254-264.