小斜视角RDA

matlab program for thinning an image

OFDM仿真程序，除了.m格式还有word形式的代码( There are OFDM simulation program, in addition,no only have M form of the code ,but aslo word format.)

典型相关分析程序，经过调试程序可以直接运行。(Canonical correlation analysis program, can run through the debugger.)

一些常用的通信系统仿真，16qam、64qam误码分析，turbo。(Some commonly used communication system simulation, 16qam, 64qam error analysis, turbo.)

feature detection with mean shift

Single stage photovoltaic and energy storage battery wind energy and photovoltaic hybrid microgrid model

matlab数模部分PDF.rar详细的介绍了matlab数模部分入门(matlab digital-analog PDF.rar part of a detailed introduction of the digital-analog part of matlab entry)

feature selection for svm classification

％ 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)

这段代码是最近调试的一段ECG滤波检波的软件，它实现了对一段ECG数据的GAUS变换滤波，能较为准确的测定出P，Q，R，S，T等关键波的长度及特征。有兴趣的可以看看(This code is the latest section of ECG filtering detector debugging software, which implements the ECG data on a GAUS transform filtering, can be more accurate determination of the P, Q, R, S, T, and the length of the critical wave characteristics. Interested to see)