Title :
Frequency domain set membership fast normalised LMS adaptive algorithm
Author :
Pushparajah, S.J. ; Chambers, J.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
fDate :
5/27/1999 12:00:00 AM
Abstract :
The concept of set membership (SM) adaptive filtering is extended to the frequency domain and a novel frequency domain SM algorithm is derived. Simulations show that the new SM algorithm has a much improved convergence rate over the conventional fast normalised least mean square (FNLMS) algorithm with identical misadjustment performance. Moreover, the SM algorithm has the same order of computational complexity as the FNLMS algorithm.
Keywords :
least mean squares methods; computational complexity; convergence rate; fast normalised LMS adaptive algorithm; frequency domain algorithm; misadjustment performance; set membership adaptive filtering;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19990654
