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The Kalman filter is a mathematical power tool that is playing an increasingly important role in computer graphics as we include sensing of the real world in our systems. The good news is you don’t have to be a mathematical genius to understand and effectively use Kalman filters. This tutorial is designed to provide developers of graphical systems with a basic understanding of this important mathematical tool.

一种基础的恒模算法，应用于信道补偿的盲均衡(a basic algorithm for costant modulus algorithm,the blind equlization application used to channel conpasention)

很有用的一些代码　对于新手很有用的　可以下来(Some useful code for the novice can be very useful down)

应用KL变换的人脸识别MATLAB实现,人脸识别可以借鉴(K_L decompsition for face recognition)

不动点连续近似奇异值分解算法用于解决矩阵填充的代码(Fixed point and Bregman iterative methods for matrix rank minimization)

This is a MATLAB program which is forms a power ssytem model and its controller. Its extremely useful.

基于动态规划的检测前跟踪算法中检测概率与恒虚警的关系程序(Based on dynamic programming tracking algorithm in the pre-test probability of detection and the relationship between the procedures CFAR)

减采样实例 增采样实例 线性插值实例 改变采样率实例(Reduce the sampling instance By sampling instance Linear interpolation examples Instance of changing the sampling rate)

说明：  绘制的Z图形，供了解MATLAB的可视化功能(z=sin(sqrt（x^2+y^2）)/(sqrt(x^2+y^2)))

极大似然法，基于极大似然法的参数估计，matlab程序(Maximum Likelihood)