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

DOI10.1002/ACS.3334MaRDI QIDQ6495313

José Carlos Moreira Bermudez, Neil J. Bershad, Eweda Eweda

Publication date: 30 April 2024

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

zbMATH Keywords

adaptive filtersnormalized least mean square algorithmleast mean square algorithmstochastic diffusion algorithms

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

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• Characterization of cyclostationary random signal processes
• Incremental Adaptive Strategies Over Distributed Networks
• Diffusion recursive least-squares for distributed estimation over adaptive networks
• Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
• Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis
• Diffusion LMS Strategies for Distributed Estimation
• Distributed Detection Over Adaptive Networks Using Diffusion Adaptation
• Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks
• Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian Inputs
• Stochastic Analysis of an Adaptive Line Enhancer/Canceler With a Cyclostationary Input
• Stochastic Analysis of the Signed LMS Algorithms for Cyclostationary White Gaussian Inputs
• Stochastic Analysis of the LMS and NLMS Algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs
• Behavior of the least mean square algorithm with a periodically time‐varying input power

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