Two improved multiband structured subband adaptive filter algorithms with reduced computational complexity-Reference-Cited by-同舟云学术

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Two improved multiband structured subband adaptive filter algorithms with reduced computational complexity

Published:2019-01 Issue: Volume:154 Page:15-29
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Shams Esfand Abadi Mohammad^ORCID,Husøy John Håkon,Ahmadi Mohammad Javad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference24 articles.

1. Adaptive Signal Processing;Widrow,1985

2. Adaptive Filter Theory;Haykin,2002

3. Adaptive Filters;Sayed,2008

4. Adaptive Filters: Theory and Applications;Farhang-Boroujeny,1998

5. An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties;Ozeki,1984

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1. A family of variable step-size sparsity-aware SSAF algorithms with individual-weighting-factors under model-driven method;Journal of the Franklin Institute;2022-11

2. Improved multiband structured subband adaptive filter algorithm with L0-norm regularization for sparse system identification;Digital Signal Processing;2022-04

3. On the Performance Analysis of Normalized Subband Adaptive Filtering Algorithm with Sparse Subfilters;Circuits, Systems, and Signal Processing;2020-05-14

4. Efficient Estimation of Graph Signals With Adaptive Sampling;IEEE Transactions on Signal Processing;2020

5. Two Low Computational Complexity Improved Multiband Structured Subband Adaptive Filter Algorithms;Scientia Iranica;2019-08-10

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