Title :
The leaky Least Mean Fourth adaptive algorithm
Author :
Khattak, Obaid-ur-Rehman ; Zerguine, Azzedine
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this work, a leakage-based variant of the Least Mean Fourth (LMF) algorithm, the leaky Least Mean Fourth (LLMF) algorithm, has been derived which helps mitigate the weight drift problem experienced in the conventional LMF algorithm. 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 number of simulation results are carried out to corroborate the theoretical findings, and show improved performance obtained through the use of LLMF over the conventional LMF algorithm in a weight drift environment.
Keywords :
adaptive filters; adaptive signal processing; least mean squares methods; transient analysis; LLMF adaptive algorithm; energy conservation relation framework; leaky least mean fourth adaptive algorithm; transient analysis; weight drift problem; Adaptive filters; leaky least mean fourth (LLMF); weight drift;
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
DOI :
10.1109/ISSPA.2010.5605591