SVM-Regress

本程序由一对m序列优选对模二加生成一组平衡GOLD序列码，用于对直扩系统仿真之中，通过改变第二个m序列的初始状态可以生成不同的GOLD序列码(This procedure by a pair of m-mode sequence optimization of two-plus-one group to generate a balanced sequence GOLD code, for the DS system simulation, and by changing the second m sequence of the initial state can produce different code sequences GOLD)

说明：  利用matlab编写的kalman滤波源程序，经过详细测试绝对可以可靠使用(prepared by the use of Matlab Kalman filtering source, after careful testing can absolutely reliable use! !)

说明：  这是一个LMBP算法的源程序MATLAB(THIS IS A LMBP PROGRAM)

CFAR一种门限设定方法，可以很好地对波动大的区域进行门限设定(CFAR of a threshold setting method, can be a good area for large fluctuations in the threshold setting)

Simulation Fuzzy PID

标准的MATLAB潮流计算程序，相信对大家有一定的帮助(Standard MATLAB flow calculation procedures, believe that everyone has some help)

说明：  关于软件无线电中CIC滤波器的实现与仿真(On Software Radio CIC Filter Implementation and Simulation)

图像匹配和深度图计算 stereo match and depth map generated(stereo match and depth map generated)

ofdm的qpsk调制，其中是认真编程，求拍(ofdm qpsk modulation, which is serious about programming, seeking film)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.