The data-selective constrained affine-projection algorithm

被引：0
|
作者：
Werner, S [1 ]
Apolinario, JA [1 ]
de Campos, MLR [1 ]
机构：
[1] Aalto Univ, Signal Proc Lab, FIN-02015 Espoo, Finland
来源：
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING | 2001年
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D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper introduces a constrained version of the recently proposed set-membership affine projection algorithm based on the set-membership criteria for coefficient update. The algorithm is suitable for linearly-constrained minimum-variance filtering applications. The data selective property of the proposed algorithm greatly reduces the computational burden as compared with a nonselective approach. Simulation results show the good performance in terms convergence, final misadjustment, and reduced computational complexity.
引用
收藏
页码：3745 / 3748
页数：4
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