A FAMILY OF SET-MEMBERSHIP AFFINE PROJECTION ADAPTIVE FILTER ALGORITHMS

被引：0
|
作者：
Abadi, Mohammad Shams Esfand [1 ]
Mehrdad, Vahid [2 ]
Norouzi, Majid [3 ]
机构：
[1] Shahid Rajaee Teacher Training Univ, Fac Elect & Comp Engn, Tehran, Iran
[2] Sahand Univ Technol, Fac Elect Engn, Tabriz, Iran
[3] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2012年 / 8卷 / 02期
关键词：
Adaptive filter; Affine projection; Set-membership; Selective regressor; Partial update; PARTIAL-UPDATE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we extend the set-membership (SM) adaptive filtering approach to the various affine projection (AP) adaptive filter algorithms to propose the computationally efficient algorithms. Based on this, the SM-APA, SM selective regressor APA (SM-SR-APA), SM dynamic selection APA (SM-DS-APA) and SM selective partial update APA (SM-SPU-APA) are established. The SM-SR-APA reduces complexity by selecting a subset of input regressors at every iteration. In SM-DS-APA, the dynamic selection of input vectors is used during the adaptation. The filter coefficients are partially updated in SM-SPU-APA. Also by combination of SM and SPU approaches, the SM-SPU-SR-APA and SM-SPU-DS-APA are introduced. We demonstrate the good performance of the presented algorithms for system identification, line and acoustic echo cancellation applications.
引用
收藏
页码：1313 / 1326
页数：14
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