image-quality-evaluation

to calculate the similarity between many functions

simulation to verify efficiency of Convolutional Coding

系统辨识及其MATLAB仿真,M序列产生程序(System Identification and MATLAB, M sequence generator)

卡尔曼滤波方法，在语音信号以及现代信号处理在的地位十分突出！源码和介绍！(Kalman filtering method, in the speech signal, as well as modern signal processing in the status of very prominent! Source and introduction!)

第一次上传，matlab做的卡尔曼滤波，有matlab用户界面，可以设置初始值，及蒙特卡洛次数。(From the first time, matlab do the Kalman filter, a matlab user interface, you can set the initial value, and the number of Monte Carlo.)

说明：  svm工具箱，应用于matlab平台，给出了C_SVC二类分类算法的历程(svm toolbox, used matlab platform, given C_SVC the course of second-class Classification Algorithm)

基于聚类算法和模式识别的人脸检测程序原代码(Based on clustering algorithm and pattern recognition face detection procedures the original code)

在阵列天线自适应信号处理中，经常会出现因为阵元位置信号角度估计等误差引起的，天线性能急剧下降的问题，在此运用稳健性的方法提出一种稳健的自适应阵列天线波束合成方法，来解决此问题(In the adaptive array antenna signal processing, often occur because the sensor position signal angle estimation error caused a sharp decline in the performance of the antenna problem, a robust adaptive array antenna beam synthesis method in this application of the robustness of the method to solve this problem)

说明：  在命令窗输入如下内容就得到图形了: [t,x]=ode45( godhua ,[0,10],[0,0,0,1]) subplot(131) plot(t,x(:,4)) xlabel( t ) ylabel( y ) subplot(132) plot(t,x(:,1)) xlabel( t ) ylabel( v ) subplot(133) plot(t,x(:,2)) xlabel( t ) ylabel( \theta ) (At the command window type the following content to be the graphics: [t, x] = ode45 (godhua, [0,10], [0,0,0,1]) subplot (131) plot (t, x (:, 4 )) xlabel (t) ylabel (y) subplot (132) plot (t, x (:, 1)) xlabel (t) ylabel (v) subplot (133) plot (t, x (:, 2)) xlabel ( t) ylabel (heta))

用MATLAB实现模式识别中的贝叶斯分类(Using MATLAB to achieve recognition in the Bayesian classifier)