MT2DMODEL

说明：  在处理数据的时候我们经常要算各个区间的频数,但是在matlab中没有这样的命令.当数据比较大的时候自己数就比较麻烦,这里编了个小程序,(Handle data in a time when we often have to count the frequency of each interval, but there is no such matlab in command. When the data when the relatively large number of on its own is too much trouble here编了个small procedures,)

基于非线性扩展卡尔曼滤波的Matlab程序(The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done.)

MATLAB数值计算经典教程MATLAB numerical classic tutorial(MATLAB numerical classic tutorial MATLAB numerical classic tutorial)

电流瞬时无功检测 用来检测瞬时无功电流的大小(Current instantaneous reactive detection )

说明：  用MATLAB编程实现OFDM调制，使用了FFT和IFFT方法(Programming with MATLAB realize OFDM modulation, the use of FFT and IFFT methods)

matlab编程计算结构系统的频率响应程序(matlab program to calculate the frequency response of structural systems)

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

SPARSE ESTIMATION Sparse signal recovery via L_1 minimization. This code is the basis in the L1 magic toolbox for sampling signals that are sparse in the time domain.

java调用matlab程序的一个applet。(java call matlab program for a applet.)

一个模型预测控制的编写的程序，在预测步长P不同时候进行仿真，曲线很好。(Procedures for the preparation of a model predictive control, at various times forecast simulation step size P, the curve is very good.)