principal-component-anlisys

Codes for matlab problems and C++ school eork

用遗传算法针对对为变量进行优化设计，使得目标函数达到最优解(Genetic algorithms for pairs of variables to optimize the design, the objective function to achieve the optimal solution)

用matlab实现自适应信号处理中的LCMV（8阵元） 和 v步LMs 算法。 (Adaptive signal processing using matlab to achieve the LCMV (8 array element) and v step LMs algorithm.)

Numerical analyse with matlab

my_clustering（分层聚类算法，类内采用最大距离，类间采用最小距离实现）(my_clustering (hierarchical clustering algorithm, the largest category within distance, using the minimum distance between the class implementation))

full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement.

实现快速傅里叶变换，线性调频Z变换，通俗易懂。(This is for students who is major in communication project.)

用角谱法计算菲涅尔衍射图样，计算出后加上GS算法即可得出全息图(Fresnel diffraction pattern is calculated using the angular spectrum method, after adding GS algorithm to calculate the hologram can be derived)

机器学习经典决策树算法的实现 输入训练标签输出预测结果(the classificial machine learning algorithm, input label and traning set and get predictions)

对一段语音信号进行预处理，加窗，求过零率，短时能量，求各种语音信号的特征参数。(For a period of speech signal pre-processing, windowing, and zero-crossing rate, short-time energy, and all kinds of speech feature parameters.)