The wavelet transform-domain LMS algorithm: A more practical approach

The wavelet transform-domain least-mean square (WT-DLMS) algorithm is known to have, in general, a faster convergence rate than the time-domain LMS al gorithm, and can find many applications in signal processing and communicat ions areas. However, the computational complexity of the wavelet filter ban k is relatively high. In this brief, we show how to exploit the redundancy which exists in the computation of the wavelet coefficients between success ive iterations so as to significantly reduce the computational load of the algorithm.