consellation

用遗传算法实现TSP旅行商问题，MATLAB源码(Using Genetic Algorithm for Traveling Salesman Problem TSP implementation, MATLAB source)

matlab programme for loss calculation in HT line

matlab写的信号处理的程序，实现FFT变换，功率谱估计，滤波器滤波，等功能(Programs written in matlab signal processing to achieve an FFT power spectrum estimation, filters filtering, and other functions)

％ 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)

BER performance of RCPC codes over Reilaygh fading

matlab获取PCA特征的小程序，适合初学者(matlab access characteristics of a small PCA procedures, suitable for beginners)

this code is mainly based on clustering

一种经验模态分解算法，很好用的信号分析方法(a kind of method for EMD)

语音信号特征提取技术,PLP，MFCC,FFT等MATLAB程序。(plp mfcc)

BOOST中对于元编程中如何增加预编译的功能，并且增加了自定义输出错误码的功能。是学习元编程的很好的入门例子(BOOST how to add the function of pre compiled meta programming, and add custom output error code function. Is learning meta programming is a good example of entry)