uplod

图论最短路问题，应用弗洛伊德算法，非常非常的牛逼(Shortest path problem on graph theory, applications Floyd algorithm, very, very Niubi)

matlab code for image preprocessing

Kasami sequence generator using matlab

说明：  神经网络 侯媛彬 西安电子科技大学出版社 全书程序夹CH5(Neural network)

This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate. (This code was used for making the practical measurements in section 2.3 of my thesis. This M atlab code allows an OFDM signal to be generated based on an input data file. The data can be rando m data, a gray scale image, a wave file, or any type of file. The OFDM signal is generated stored as a windows wave file, allowing it to be viewed. listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data . This code was developed for the experiments th at I performed in my honors thesis, and thus has not been fully debugged. This is the original code developed for the thesis and so ha 's several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.)

HDD Regenerator 1.71(This is the tool Of Checking HDD)

ISOMAP瑞士卷的matlab实现，实现降维功能(matlab realize of ISOMAP)

for load forecasting paper

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function

SQP算法的matlab实现，包括子程序的实现和整个的大问题，配合使用(The sub-problem of SQP programing)