Title :
Designing a fuzzy step size LMS algorithm
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
fDate :
10/1/1997 12:00:00 AM
Abstract :
A new approach in adjusting the step size of the least mean square (LMS) using the fuzzy logic technique is presented. It extends the earlier work of Gan (see Signal Process., vol.49, no.2, p.145-49, 1996) by giving a complete design methodology and guidelines for developing a reliable and robust fuzzy step size LMS (FSS LMS) algorithm. It also presents a computational study and simulation results of this newly proposed algorithm compared to other conventional variable step size LMS algorithms
Keywords :
adaptive filters; adaptive signal processing; filtering theory; fuzzy logic; least mean squares methods; adaptive filtering; design method; fuzzy logic; fuzzy step size LMS algorithm; least mean square; simulation results; variable step size LMS algorithms;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19971417
