Wang Anhong

Non-linear predictor based on ANN in speech coding

In this paper, non-linear predictors based on different artificial neural network (ANN) are compared. General radical basis function (GERBF) neural network, a modified RBF network, is introduced. From the comparison with BP, RNN and RBF, it is obvious that GERBF has priority in the prediction of speech signal. The experiment results show: the speech coding systems based on ANN have better synthesized speech than ITUs G721 and the speech coding system based on GERBF has higher mean segmental SNR but less computation than that of other systems.

GPC Control Menthod and Stability Analysis of Networked Control Systems

Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems. This type of system has many advantages of flexibility with respect to traditional control systems. The insertion of communication network in the feedback control loop makes the analysis and design of networked control systems complex. The tools and methods developed in conventional control theory are not enough for this analysis. In this paper, generalized predictive control is used the networked control system to deals with the communication time delays in the control loop. The stability analysis is introduced.

A blind channel equalization algorithm based on feed forward neural network

In this paper, a new blind channel identification/equalization algorithm based on multiplayer feed forward neural network is proposed, and the transmission function adapted to the neural network is analyzed. The computer simulations show that the convergence performance of new algorithm is better than traditional feed forward neural network algorithm.