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An Efficient L0 Norm Constraint Memory Improved Proportionate Affine Projection Algorithm
Qu, Zhaoxia1; Zheng, Zongsheng2
刊名Circuits, Systems, and Signal Processing
2017-08-01
卷号36期号:8页码:3448-3456
关键词Computational complexity Impulse response Acoustic echo cancellation Affine projection algorithms Efficient recursive implementation Input matrices Low computational complexity Recursive scheme Sparse impulse response Steady-state misalignments
ISSN号0278081X
DOI10.1007/s00034-016-0467-4
英文摘要This paper proposes an L0 norm constraint memory improved proportionate affine projection algorithm with a lower computational complexity than the conventional L0 norm constraint improved proportionate affine projection algorithm. Particularly, to achieve a low computational complexity, we propose to remove the matrix before the zero attraction term. Moreover, the product of the proportionate matrix and input matrix is implemented using an efficient recursive scheme. Simulation results in acoustic echo cancellation context show that our algorithm not only significantly reduces the computational complexity but also achieves slightly improved steady-state misalignment. © 2016, Springer Science+Business Media New York.
WOS研究方向Engineering
语种英语
出版者Birkhauser Boston
WOS记录号WOS:000402720100020
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/114615]  
专题兰州理工大学
作者单位1.School of Science, Lanzhou University of Technology, Lanzhou, China;
2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
推荐引用方式
GB/T 7714
Qu, Zhaoxia,Zheng, Zongsheng. An Efficient L0 Norm Constraint Memory Improved Proportionate Affine Projection Algorithm[J]. Circuits, Systems, and Signal Processing,2017,36(8):3448-3456.
APA Qu, Zhaoxia,&Zheng, Zongsheng.(2017).An Efficient L0 Norm Constraint Memory Improved Proportionate Affine Projection Algorithm.Circuits, Systems, and Signal Processing,36(8),3448-3456.
MLA Qu, Zhaoxia,et al."An Efficient L0 Norm Constraint Memory Improved Proportionate Affine Projection Algorithm".Circuits, Systems, and Signal Processing 36.8(2017):3448-3456.
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