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 …
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 …
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 …
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 …
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 …
This paper presents a stochastic model of the normalized least-mean-square (NLMS) algorithm assuming nonstationary environment, deficient length adaptive filter, as well as …
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 …
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 …
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 …