Affine Projection Subband Adaptive Filter With Low Computational Complexity

被引：12

作者：

Petraglia, Mariane R. ^{[1
]}

Haddad, Diego B. ^{[2
]}

Marques, Elias L. ^{[1
,3
]}

机构：

[1] Univ Fed Rio de Janeiro, Program Elect Engn, Inst Alberto Luiz Coimbra Posgrad & Pesquisa Engn, BR-21945970 Rio De Janeiro, RJ, Brazil

[2] Ctr Fed Educ Tecnol, BR-26041271 Nova Iguau, RJ, Brazil

[3] Inst Nacl Propriedade Ind, BR-20090910 Rio De Janeiro, RJ, Brazil

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2016年 / 63卷 / 10期

关键词：

Acoustic echo cancellation; adaptive filter; affine projection algorithm (APA); subband adaptive filter; ALGORITHM; NLMS;

D O I：

10.1109/TCSII.2016.2539080

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The affine projection algorithm (APA) and the normalized subband adaptive filter (NSAF) have been proposed to improve the convergence rate of the normalized least mean square algorithm for colored input signals. Recently, the improved multiband-structured subband adaptive filter (IMSAF) has been advanced, combining the APA and NSAF optimization approaches. The use of the IMSAF may result in accelerated convergence rate but at the expense of a large increase in computational complexity. In this brief, a reduced complexity subband adaptive algorithm is proposed, which employs sparse subfilters and a subband APA cost function. A variable-step-size method is developed, thereby providing fast convergence rate while ensuring small steady-state misadjustment.

引用

页码：989 / 993

页数：5