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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.

MATLAB语言编写的利用遗传算法优化小波神经网络的一个例子(MATLAB language, an example of the use of genetic algorithms to optimize the wavelet neural network)

用于对路标进行提取和识别！对于实验环境下的路标识别效果比较好！(To sign for extraction and recognition. For the test environment road signs recognition effect is better! )

XXY 平台移動計算,利用三點位置算出中心進行偏移動作(XXY mobile computing platform using three shift operation center position calculating)

MULTIPATH for matlab

Generation of room impulse genration with thiran filter

Adaptive Simulated Annealing with matlab code

使用matlab写的6个多用户检测程序，非常有价值(Using matlab written more than 6-user detection procedures, very valuable)

说明：  多目标优化的例证，用粒子群算法做的。调试过，没问题，能用。(multi-objective ,PSO)

turbo code with block interleaver