dct_basic2

matlab的简明实例教程，可以自己研究一下 还不错的教程(concise instance of matlab tutorials, you can look pretty good your tutorials)

该算法主要是利用Kalman滤波算法实现目标的跟踪及参数估计。(The algorithm Kalman filtering algorithm is the main goal tracking and parameter estimation. )

All graph algorithms thats helps to understand the concepts

蚁群算法，计算各个城市之间的线路问题，使用matlab实现(aco ant colony optimization，matlab)

Code for a a anisotropique diffusion

matlab一百例，有详细的程序讲解，很有用的资料(matlab one hundred cases, explain the procedures detailed, useful information)

PCA based face recognition

neural network based speech detection

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated

soliton f d t d solver