A new adaptive filtering algorithm based on discrete wavelet transforms

The wavelet transform domain LMS algorithm are integrated with variable step-size LMS algorithm, from which a new adaptive filtering algorithm is presented based on discrete wavelet transforms (NDWT-LMS). The algorithm can reduce the self-correlation of input signals effectively and can overcome the conflict between high convergence rate and low steady-state error in LMS algorithm which leading by fixed step-size, The computer simulation results indicate that the new algorithm has higher convergence rate and lower steady-state error to compared with LMS algorithm, it can be applied effectively in the adaptive systems.