signal-and-system-toolbox

Linear Algebra - Math book

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

说明：  source code for rotation invatiant feature extraction

说明：  模糊系统的matlab 使用手册 没有详细的函数说明和功能介绍(Matlab fuzzy system using the manual function of the lack of a detailed description and features)

voice interference may be show with it.

This is a more complete (well the first one anyway) OFDM system. It involves all the necessary steps to generate an OFDM signal.

Particle swarm optimization algorithm ( 粒子群优化算法)

永磁同步电机矢量控制，基于matlab/simulink仿真(Permanent magnet synchronous motor vector control, simulation based on matlab/simulink)

％ 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)

加权余量法--子域法求解一维扩散方程。参考书《Computational Techniques for Fluid Dynamics》(The weighted residual Law- sub-domain method for solving one-dimensional diffusion equation. Reference book " Computational Techniques for Fluid Dynamics" )