rf_KL

这是关于Matlab的信号处理的电子书，里面介绍了关于Matlab的信号变换和调制，模拟滤波器等。(This is the Matlab signal processing on the e-book, which introduced the report on Matlab and modulation of the signal transformation, such as analog filters.)

此文档具体说明了如何设计二进制psk通信系统以及使用相关软件进行仿真(design of communication system)

匹配追踪和正交匹配追踪，一种基于多文档得图像合并技术，gmcalab 快速广义的形态分量分析。( Matching Pursuit and orthogonal matching pursuit, Based on multi-document image obtained combining technique, gmcalab fast generalized form component analysis.)

对人脸变形的纠正程序,程序是用matlab编的,希望能给大家带来点帮助.(Correction of facial deformation process, the program is compiled with matlab, and I hope we can bring some help.)

卡尔曼滤波比较简单的代码和相关文章！对于初学者还是比较有用的(Kalman filtering relatively simple code and related articles! It is quite useful for beginners)

基于matlab，利用牛顿下山法来解非线性方程组的数值解(Newton downhill method for solving nonlinear equations)

说明：  ：简述了数字图像处理、MATLAB软件及两者之间的关系，针对数字图像处理技术的特点及MATLAB语言的应用环 境，选择二雏离散傅里叶变换线性性质的MATLAB实现和直方图均衡化的MATLAB实现作为数字图像处理课程的入门实 验，实现了数字图像处理与MATLAB之间的有机结合。(: A brief review of digital image processing, MATLAB software and the relationship between the two for digital image processing technology, features and application environment MATLAB language, choose the two underage Discrete Fourier Transform Linear nature of MATLAB implementation and histogram equalization The MATLAB implementation of digital image processing program as the entry test to achieve a digital image processing and the organic integration between MATLAB.)

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

总体X服从非中心卡方分布，求两个参数的极大似然估计 输入：样本数据 输出：参数估计值n，v 内有详细说明(Overall X obey non-central chi-square distribution, find the two parameters MLE)

projet 2 is very importand