QSDASS

对标幺化感应电机的控制，依次分块地对磁通，转矩，转矩设计控制器，并对模型简化和未简化的情况做对比，适合于对感应电机控制各个环节的控制有更深的理解。(Induction motor control, in turn block the flux, torque, torque design of the controller, and the model is simplified and not simplified contrast, is suitable for the control of all aspects of a deeper understanding of the induction motor control. The outcome of the study in the experimental class)

用burg算法对信号的功率谱进行估计，基于MATLAB(Burg algorithm with the signal power spectrum estimation， based on MATLAB。)

normalized huffman code for digital comm

语音端点检测，门限法包括短时能量、过零率等等(Voice activity detection, threshold laws, including the short-term energy, zero crossing rate, etc.)

基于MATLAB中的对于风电场模型的仿真(Based on MATLAB in the simulation model for wind farms)

lattice boltzmann 方法模拟两相流，采用RK模型(lbm for two-phase flow)

说明：  用MatlAB编程实现移动通信系统中的GMSK调制解调(Programming with MatlAB the GMSK mobile communication system modem)

对信号进行希尔伯特变换，来进行故障诊断。及其有效的方法(The signal hilbert-huang transform, for fault diagnosis. And effective method)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

有限元计算程序。三角形线性元的有限元计算程序。练习使用。(Finite element program.Triangular linear finite element computer program. Practice using.)