pca

Script compares different algorithms of boosting family: methods = { AdaBoostM1 , LogitBoost , GentleBoost , RobustBoost , Bag }

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

说明：  matlab中ga算法的一个小program，还是挺细致的。(ga in matlab algorithm for a small program, we welcome the added ah ~ ~ ~ ~)

Indexation 1-1 for image by FFT matlab

介绍了Matlab在光学仿真中的应用，包括了几何光学、光波导、高斯光束传输等方面的基础知识及仿真。(Engineering Optics With Matlab)

利用差分进化算法（Differential Evolution）实现对经典函数sphere的验证(The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function of sphere)

对网格进行平滑，利用汉宁窗对海底地形进行平滑。直接输入函数即可。(Smoothing of the grid, the use of Hanning smoothing of the submarine topography. Can be directly input function.)

Perceptron Using MATLAB

对一副人物照片进行局部人脸的识别后，再用混沌系统产生的序列进行加密。(After the local face recognition of a character picture, the sequence generated by the chaotic system is encrypted.)

删除矩阵中某行某列,可以使数据处理更加合理。(Delete the matrix in a column in a row, can make data processing more reasonable.)