crt

利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)

软判决在OQPSK解调中实现对信号纠错的分析与纠错的(Soft-decision in the OQPSK demodulator to achieve error correction signal analysis and error correction)

利用matlab提供的引擎接口函数与VC联合开发编程，可在VC中充分发挥matlab强大的数值运算功能，弥补VC中数值运算函数的不足(err)

Dc motor control in matlab

这是一个关于图像识别的程序，可以根据图像中的某些点，识别出图像的形状(This is a program on the image recognition, according to some point in the image, identify the shape of the image)

星形QAM调制程度,用MATLAB仿真...请大家共享(The degree of star QAM modulation, using MATLAB simulation ... please share)

说明：  遗传算法实现50维函数优化，代码简单易懂，适合初学者。(Genetic algorithm of 50-dimensional function optimization, code easy-to-read, suitable for beginners.)

说明：  有限元例子，适用于自适应网格算法，这只是一部分，还有后传！(finite element)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

Logistic Regression Classifier