Low-complexity \(l_0\)-norm penalized shrinkage linear and widely linear affine projection algorithms

DOI10.1007/s00034-016-0465-6zbMath1371.94551OpenAlexW2558324317MaRDI QIDQ2405550

Shuang Xiao, Youwen Zhang, Lu Liu, Dajun Sun

Publication date: 26 September 2017

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-016-0465-6

zbMATH Keywords

signal processingadaptive filterLMSlow-complexity adaptive algorithm

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Enhancing sparsity by reweighted \(\ell _{1}\) minimization
• Convergence behavior of affine projection algorithms
• Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety
• Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm
• A Family of Shrinkage Adaptive-Filtering Algorithms
• Shrinkage Linear and Widely Linear Complex-Valued Least Mean Squares Algorithms for Adaptive Beamforming
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Order of N complexity transform domain adaptive filters
• Mean-Square Performance of a Family of Affine Projection Algorithms
• A simple experimental equation for the bursting cycle