matlab实现模拟交通流

实现YUV格式视频序列向RGB视频序列转换(Achieve YUV format video sequence to convert RGB video sequence)

There are two files with the same name (vectgui) in this archive. One is Matlab figure file and the other one is Matlab M-file. Please save them under the same directory which Matlab can access.

k均值算法matlab实现，模式识别中常用(k-means algorithm matlab realize, pattern recognition used in)

这是关于风力发电机齿轮箱的文章，希望对大家有帮助。(This is about the wind turbine gearbox article, we want to help.)

step response in RC filter

to find the iris radius and center using image thresholding and center approximation..

说明：  分别应用jacobi迭代和gseid迭代进行方程的求解，并且比较两种迭代方法的精度 和效率(Were applied jacobi iteration to iteration and gseid equation, and compare the two precision and efficiency of iterative methods)

云模型Matlab代码，包括正向云发生器，x条件云发生器和y条件云发生器。(Cloud model Matlab code, including the forward cloud generator, x and y condition cloud generator condition cloud generator.)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

mimo信道建模，仿真结果，信道建模介绍详细说明(mimo channel modeling, simulation results, detailed description of the channel model introduced)