doppler_shif

说明：  matlab经典课堂讲义 1 学习matlab中相当好的不可多得的讲义，动画形式的(matlab classic classroom lecture in a very good learning matlab rare lecture, animation of)

利用Matlab对Kouch曲线的程序编写，能生成Koch曲线并绘制图形，级数作为外部参数输入，可调整。(The use of Matlab program of Kouch curve to write, can generate Koch curve and graphics rendering, series as external input parameters, can be adjusted)

人工蜂群ABC的MATLAB改进代码，挺详细的。(MATLAB ABC)

实现了QPSK在瑞利信道下的性能仿真,仿真结果与理论曲线相比较，结果相符。供大家参考。(It achieved the simulation of QPSK performance in Rayleigh channel.)

Matlab Interactive seminar

libsvm的最新函数包，包含了各种语言的接口，可方便的实现分类，回归等问题(libsvm package)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

Adaline Algorithm Using Matlab

基于L*A*B空间的色彩分割,可以直接运行，开发环境最好是MATLAB2009(COLOR CUT BASED ON LAB)

love波程序love波程序love波程序love波程序里面包含频谱分析(lvoe wave)