A noise constrained least mean fourth (NCLMF) adaptive algorithm

DOI10.1016/J.SIGPRO.2010.06.020zbMath1203.94066OpenAlexW2031709668MaRDI QIDQ612556

Azzedine Zerguine, Muhammad Moinuddin, Syed Ali Aamir Imam

Publication date: 29 December 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.06.020

zbMATH Keywords

constrained optimizationadaptive filtersLMSLMFNCLMF algorithmnoise constraints

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

A noise-constrained algorithm for estimation over distributed networks

Cites Work

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• A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS)
• Convergence and tracking analysis of a variable normalised LMF (XE-NLMF) algorithm
• On error-saturation nonlinearities in LMS adaptation
• Convergence and performance analysis of the normalized LMS algorithm with uncorrelated Gaussian data
• On the Independence Theory of Equalizer Convergence

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