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The main aim of this work is to derive the LLMF adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a ...
Apr 1, 2013 · The goal of the algorithm was to give a lower steady state of misadjustment for a given rate of convergence as compared with the LMS algorithm.
In this work, a leakage-based variant of the least mean fourth (LMF) algorithm, the leaky least mean fourth (LLMF) algorithm, is proposed.
This work derives the LLMF adaptive algorithm, analyse its convergence behaviour, and examine its performance in different noise environments, ...
Jan 27, 2013 · Abstract: In this work, a leakage-based variant of the least mean fourth (LMF) algorithm, the leaky least mean fourth (LLMF).
The main target of this work is to derive the FXLMF and LFXLMF adaptive algorithms, study their convergence behaviors, examine their tracking and transient ...
The main aim of this work is to derive the LLMF adaptive algorithm, analyse its convergence behaviour, and examine its performance in different noise ...
The proposed algorithm will help mitigate the weight drift problem experienced in the conventional Least Mean Square (LMS) and Least Mean Fourth (LMF) ...
The main aim of this work is to derive the LLMF adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a ...
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The main aim of this work is to derive the LLMF adaptive algorithm and conduct transient analysis using the energy conservation relation framework. Finally, a ...