Powerflow

基于MATLAB巴特沃思滤波器的研究，与仿真 (Butterworth filter based on MATLAB research, and simulation)

Dynamic time warping (DTW), cepstral coefficients, decisions

Report Studi communication data

基于BEM的无线信道估计，模型有CE-BEM、DPS-BEM、DKL-BEM等(The wireless channel estimation based on BEM )

说明：  matlab软件编程实现虚拟的函数信号发生器(Function Generator)

LBP提取例程，很好阅读，方便使用,效果很好，可以直接看出效果(LBP extraction routines, well read, easy to use)

图像分割算法源码 Matlab图像处理相关函数的使用(Image Segmentation)

mean and variance of sinusoidal signal

关于matlab的数学基础的英文资料，对于了解matlab的编程原理有很好的帮助(About matlab mathematical foundations of English, for the understanding of matlab programming principles of good help)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)