pso

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

ART1自适应谐振网，已经通过测试，分类性能良好并且准确，此程序已经完成了运行，希望大家好好利用(ART1 adaptive resonance network, has passed the test, the classification performance is good and accurate, this program has completed running, I hope you make good use of)

BLIND DECONVULUTION FOR IMAGE PROCESSING

是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )

pi root locus design

提取语音信号的基音周期的matlab程序(Extract the pitch period of the voice signal matlab program)

2005BCI竞赛数据3 详细的BCI竞赛数据(2005BCI BCI Competition Data 3 detailed race data)

matlab实现QPSK四相相移键控信号功率谱密度(matlab implementation QPSK quadrature phase shift keying signal power spectral density)

integral and differensial in MATLAB

matlab 程序非常适合初学者入门学习，简单，并有详细的注释(matlab chu xue zhe ru men)