A novel variable tap-length learning algorithm for low complexity, fast converging stereophonic acoustic echo cancellation

被引：0

作者：

Kar, Asutosh ^{[1
]}

Chandra, Mahesh ^{[2
]}

机构：

[1] Department of Electronics and Tele-communication Engineering, IIIT, Bhubaneswar, PIN-751003, Odisha

[2] Department of Electronics and Communication Engineering, BIT, Mesra, Ranchi

来源：

International Journal of Information and Communication Technology | 2014年 / 6卷 / 3-4期

关键词：

Adaptive filter; Convergence; Mean square error; MSE; SAEC; Signal to noise ratio; SNR; Stereophonic acoustic echo cancellation; Structural complexity; Tracking; Variable tap-length;

D O I：

10.1504/ijict.2014.063219

中图分类号：

学科分类号：

摘要：

An advanced low complexity, fast converging variable tap-length (VT) learning algorithm for stereophonic acoustic echo cancellation (SAEC) based on multiple sub-filters (MSF) approach is designed and analysed in this paper. The proposed algorithm retains advantage of both VT different error algorithm (DEA) and common error algorithm (CEA). A systematic procedure is presented to set key variables that affect the structure adaptation to provide the best performance when compared to the existing stereophonic echo cancellers. The convergence performance of the MSF-based parallel structure is studied, for the designed dynamic structure and improvements are addressed over the VT-single long filter, VT-CEA, VT-DEA. A VT-selective coefficient update method to reduce the computational cost of adaptive design is discussed in context with the proposed design. It leads to the closest possible performance to the full update algorithm. Simulated results are shown to make a comparison of the proposed design with existing SAEC algorithms. Copyright © 2014 Inderscience Enterprises Ltd.

引用

页码：309 / 325

页数：16

共 17 条

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