Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Furthermore, based on the redundant wavelet video coding system, a new multiple description coding scheme is proposed, which can enhance the transmission robustness with low redundancy.
并且，基于冗余小波变换视频编码的框架，提出了一种多描述视频编码新方法，该方法以牺牲少量编码效率为代价，来提高编码系统的传输鲁棒性。
The method for the multiple model failure detection is presented based on wavelet neural network and the designed neural network observer to increase the precision of the identification.
提出了一种利用小波神经网络辨识非线性系统多模型故障的方法。
应用推荐