Augmented complex-valued normalized subband adaptive filter: algorithm derivation and analysis

DOI10.1016/j.jfranklin.2018.11.013zbMath1455.94073OpenAlexW2902938040WikidataQ128894177 ScholiaQ128894177MaRDI QIDQ1717531

Sheng Zhang, Pengwei Wen, Jiashu Zhang, Defang Li

Publication date: 6 February 2019

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.11.013

zbMATH Keywords

ACNSAF algorithmaugmented complex-valued normalized subband adaptive filter algorithmnoncircular complex-valued signals

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (7)

Robust variable step-size diffusion sign-error algorithm over adaptive networks ⋮ Robust augmented complex-valued normalized M-estimate subband adaptive filtering algorithm against colored non-circular inputs and impulsive noise ⋮ Sparsity-aware normalized subband adaptive filters with jointly optimized parameters ⋮ A full mean-square analysis of CNSAF algorithm for noncircular inputs ⋮ Robust normalized subband adaptive filter algorithm against impulsive noises and noisy inputs ⋮ A novel neural network to nonlinear complex-variable constrained nonconvex optimization ⋮ Influence of input noises on the mean-square performance of the normalized subband adaptive filter algorithm

Cites Work

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• An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals
• Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data
• A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs

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