Variable step-size saturation affine projection algorithm against impulsive noise

M Lee, J Hur, T Park, PG Park - Journal of the Franklin Institute, 2022 - Elsevier
This study proposes a variable step-size saturation affine projection algorithm (VSS-sat-
APA) robust to impulsive noise. The proposed algorithm is analytically derived from the …

A switched variable step size NLMS adaptive filter

NJ Bershad, JCM Bermudez - Digital Signal Processing, 2020 - Elsevier
This paper studies the statistical behavior of a switched variable step size Normalized Least
Mean Square adaptive filter. The purpose of the switching is to obtain a Normalized Least …

Analysis of a diffusion lms algorithm with communication delays for cyclostationary white gaussian inputs

E Eweda, JCM Bermudez… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Available analyses of the diffusion LMS (DLMS) algorithm assume that the nodes probe the
unknown system with zero delay. This assumption is unrealistic, since the unknown system …

Convergence issues in sequential partial-update LMS for cyclostationary white Gaussian input signals

W Wang, K Dogancay - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
The computational complexity of adaptive filtering algorithms increases with the number of
filter coefficients. In applications where a long adaptive filter is required, the complexity can …

Stochastic analysis of the diffusion least mean square and normalized least mean square algorithms for cyclostationary white Gaussian and non‐Gaussian inputs

E Eweda, NJ Bershad… - International Journal of …, 2021 - Wiley Online Library
The diffusion least mean square (DLMS) and the diffusion normalized least mean square
(DNLMS) algorithms are analyzed for a network having a fusion center. This structure …

Transient theoretical analysis of diffusion RLS algorithm for cyclostationary colored inputs

W Gao, J Chen, C Richard - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively
studied in the literature, whereas no analysis of its transient convergence behavior has been …

Stochastic analysis of the NLMS algorithm for nonstationary environment and deficient length adaptive filter

MV Matsuo, EV Kuhn, R Seara - Signal Processing, 2019 - Elsevier
This paper presents a stochastic model of the normalized least-mean-square (NLMS)
algorithm assuming nonstationary environment, deficient length adaptive filter, as well as …

Stochastic analysis of the recursive least squares algorithm for cyclostationary colored inputs

E Eweda, NJ Bershad… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper studies the stochastic behavior of the recursive least squares (RLS) algorithm in
a system identification framework for a cyclostationary colored input. The input …

Reduced‐dimension MVDR beamformer based on sub‐array optimization

T Liu, W Liu, Y Zhou, K Fan - IET Communications, 2022 - Wiley Online Library
A reduced‐dimension minimum variance distortionless response based on sub‐array
optimization beamformer (SAMVDR) is proposed for large array systems or some hardware …

An exact expectation model for the LMS tracking abilities

TTP Silva, P Lara, F Igreja… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Nonstationary environments are ubiquitous in communications and acoustic systems. The
ability to track their dynamics is one of the most desirable features of adaptive processing …