A novel convergence accelerator for the LMS adaptive filter

DOI10.1007/S00034-011-9287-8zbMath1252.94030OpenAlexW2142392601MaRDI QIDQ421180

Jeng-Shin Sheu, Tai-Kuo Woo, Jyh-Horng Wen

Publication date: 23 May 2012

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

Full work available at URL: https://doi.org/10.1007/s00034-011-9287-8

zbMATH Keywords

convergence ratetransition matrixLMSMSSDE

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Comparison of the convergence rates of the new correntropy-based Levenberg-Marquardt (CLM) method and the fixed-point maximum correntropy (FP-MCC) algorithm

Cites Work

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• The stability of variable step-size LMS algorithms
• A variable step size LMS algorithm
• The behavior of LMS and NLMS algorithms in the presence of spherically invariant processes
• On the Non-Attainability of Chebyshev Bounds
• On the convergence behavior of the LMS and the normalized LMS algorithms
• Analysis and implementation of variable step size adaptive algorithms
• The Mean Square Successive Difference

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