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说明：   MATLAB 图像处理以及 电子设计 的功能实现( MATLAB )

Final Code for Reed Solomon

FrameWork logic user guide for Innovative integration X5 EVM

this m-file describe a power amplifier model.it is useful to model a power amplifier which has am-am and am-pm effects.

说明：  用于图形图像处理中的图像压缩。其中的方法是用于压缩感知.(Graphic image processing for image compression. One method is for compressed sensing.)

Different way to convolution

est un convertisseur de type buck utilisé en dommaine de conversion de l energie

％ 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)

利用matlab实现对单边带信号（ssb）进行调制与解调，适用于初学者(Using matlab to achieve single-sideband signal (ssb) for modulation and demodulation, for beginners)

这是信号与系统的matlab教程，基础但实用(This is the signal system matlab tutorial, basic but practical)