The wavelet transform-domain LMS algorithm: a more practical approach
Samir Attallah · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 2000
The wavelet transform-domain least-mean square (WTDLMS) algorithm is known to have, in general, a faster convergence rate than the time-domain LMS algorithm, and can find many applications in signal processing and communications areas. However, the computational complexity of the wavelet filter bank is relatively high. In this work, we show how to exploit the redundancy which exists in the computation of the wavelet coefficients between successive iterations so as to significantly reduce the computational load of the algorithm.