Study On Algorithms Of The Wavelets To Adaptive Noise Control

For the active noise control system, the adaptive control strategy is generally adopted, and that the results are comparatively satisfying. Based on Algorithms of. the Wavelets , the control algorithm and control way are investigated in this paper.the work in the paper is made up of the following part:1. Firstly, the several LMS (Least Mean Square, LMS) algorithms are analyzed and their performance is compared by the simulation results, which offer gist for the improvement of algorithm.2. Combining the Wavelets and LMS algorithm, the paper brings forward two classes of Wavelets Adaptive Algorithm (WAF) with different structure, viz., D-LMS algorithm and DR-LMS algorithm. Theoretically investigation on each algorithm is made in details. In order to achieve the real-time of WAF, the fast use of WALLAT algorithm is brought out in the paper. To study on the performance of WAF, the simulations of system identification with D-LMS algorithm and DR-LMS algorithm are made. The simulations indicate that the performance of WAF is greatly improved, which offer the powerful and efficient method for design of control system.3. Based on Filtered-X LMS algorithm and random adaptive control, the Wavelet Adaptive Control System Model is constructed in the paper.