An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input-Reference-Cited by-同舟云学术

An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input

Published:2018-11 Issue: Volume:82 Page:118-132
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Gogineni Vinay Chakravarthi^ORCID,Das Bijit K.^ORCID,Chakraborty Mrityunjoy

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference31 articles.

1. Sparse adaptive filters – an overview and some new results;Das,2012

2. Adaptive Filter Theory;Haykin,2002

3. Sparse LMS for system identification;Chen,2009

4. Sparse adaptive filtering by an adaptive convex combination of the LMS and the ZA-LMS algorithms;Das;IEEE Trans. Circuits Syst. I, Regul. Pap.,2014

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coefficients-Switched Normalized Least-Mean- Squares Adaption in Echo Canceler of Sparse-Echo-Path;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

2. Re-weighted zero attracting adaptive exponential FLAF with maximum correntropy criterion for robust sparse nonlinear system identification;Digital Signal Processing;2022-10

3. Complex-valued proportionate affine projection Versoria algorithms and their combined-step-size variants for sparse system identification under impulsive noises;Digital Signal Processing;2021-11

4. Convex Combination of Diffusion Strategies Over Networks;IEEE Transactions on Signal and Information Processing over Networks;2020