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说明：  关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)

说明：  两个改进的EM算法，虽然比Matlab自带的运行速度慢，但更易理解算法的原理(Two improved EM algorithm, although more than Matlab s own slow, but easier to understand the principles of algorithm)

用matlab求解各个城市之间的最优的路径(Using matlab to solve the optimal path between the various cities)

去噪源码。提供了中值滤波及均值滤波的MATLAB源代码，里面有图片，可以直接运行！(Denoising source. Median filter and provides a mean filter of MATLAB source code, which has pictures, can run!)

频率切片小波变换程序（FTWT），matlab的m文件。从一种新的角度出发，通过自由选择频率切片函数、引进新尺度参数，在频率域实现小波变换，该变换能够很好地刻画信号各成分之间的相对能量关系。此外，频率切片小波变换的时频窗中心频率就是观测频率，而无需进行尺度换算。(Frequency slice wavelet transform procedures (FTWT), matlab m file. Starting from a new angle, through freely chosen frequency slice function, the introduction of a new scale parameter, the wavelet transform in the frequency domain, the transformation can portray the relative energy relations between the components of the signal. In addition, the frequency slice wavelet transform frequency is the observation of the time-frequency window center frequency without scale translation.)

Implementation algorithm to change contrast of an image

basic matlab programs-I

mtch projest must read

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

用于求解含有非线性油膜力的转子程序，使用MATLAB语言编写(Rotor program with nonlinear oil film force)