liangziyoudubiliqiankui

说明：  matlab实验中，用来确认嵌入信息位置的程序，包含了randinterval.m。(matlab experiment, the information used to identify the location of embedded programs, including the randinterval.m.)

说明：  地球物理勘探过程中对地震记录数据的子波进行提取(Geophysical data recorded during the seismic wavelet extraction)

基于Matlab-simulink的建立的汽车离合器分离结合的控制模型(Control model of automotive clutch based on Matlab-simulink)

Wilson法求解动力方程，可以画出节点的位移响应(Wilson method for solving dynamic equations, you can draw the node displacement response)

matlab课件，很好的，已经看过了，非常不错，大家想学的看看(matlab)

Mathematical Modeling of Photovoltaic Module with Simulink

解决非线性规划的工具箱，例子为阻力系数的仿真，方程组的求解，(Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met)

遗传算法中多点交叉算法来优化最小值函数所对应的解－－适应度评价过程(Multi-point genetic algorithm to optimize the cross-algorithm corresponding to the minimum function of the solution- the fitness evaluation process)

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

说明：  pls算法,实现了一个通用的pls算法，可以直接调用。(pls algorithm)