Title :
Orthogonal wavelets and stochastic gradient-based algorithms
Author :
Attallah, S. ; Najim, M.
Author_Institution :
ENSERB, CNRS, Talence, France
Abstract :
Orthogonal wavelets have been used successfully to improve the convergence of the least mean squares (LMS) algorithm. This gave rise to the wavelet transform-domain LMS algorithm (WTDLMS). In this paper a fast version of this algorithm is presented. This algorithm is then applied to the problem of adaptive channel equalization
Keywords :
adaptive equalisers; convergence of numerical methods; digital filters; least mean squares methods; stochastic processes; transforms; wavelet transforms; WTDLMS; adaptive channel equalization; least mean squares; orthogonal wavelets; stochastic gradient-based algorithms; wavelet transform-domain LMS algorithm; Computational complexity; Discrete Fourier transforms; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Least squares approximation; Stochastic processes; Tree data structures; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.550078
