Title :
On the relations between the BLMS algorithm and the generalized sliding DFT
Author_Institution :
Dept. of Electron. Eng., Kangwon Nat. Univ., Chunchon, South Korea
Abstract :
The relations between the block LMS (BLMS) algorithm and the generalized sliding DFT (GSDFT) are established. The result shows that an N-point GSDFT with a sliding length L can be evaluated by multiplying the weight vector of the adaptive BLMS algorithm by the particular phasor components provided that the convergence factor μB and the sliding length L are properly chosen
Keywords :
adaptive signal processing; convergence of numerical methods; discrete Fourier transforms; least mean squares methods; BLMS algorithm; GSDFT; adaptive BLMS algorithm; adaptive signal processing; block LMS algorithm; convergence factor; generalized sliding DFT; phasor components; sliding length; weight vector; Adaptive filters; Convergence; Discrete Fourier transforms; Equations; Least squares approximation;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608406
