magic

Wishart H a 极化分类，可以对实测数据直接进行操作(Wishart H a polarization classification, can operate directly measured data)

小波去噪程序 (Wavelet denoising procedure)

说明：  用于识别图片中有多少个圆。用户只要用windows下的画图随便画若干个圆（不能交叉，但是可以包含）。保存成256色的bmp格式，该程序就能判断出你画的图片上有多少个圆(Used to identify the picture in many circles. Users only need to use the windows painting random drawing under a number of round (can not cross, but it can contain). Save as 256 color bmp format, the program can determine the picture you draw the number of round)

说明：  Matlab环境下的各种无线系统的仿真例程(Matlab environment a variety of wireless systems simulation routines)

matlab非常全的编程实例，代码丰富，初学者的佳品(matlab very wide programming examples, code-rich, beginners Jiapin)

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

射频功率放大器预失真，通过matlab建模来实现预失真前后对比(RF PA predistortion)

文件给出了运动失真或噪声干扰的图像恢复修复源代码(Documents given movement distortion or noise source image restoration repair)

以下在matlab中利用图像处理工具箱实现均方误差（MSE）、峰值信噪比（PSNR）和熵的源代码 (The following use in matlab image processing toolbox mean square error (MSE), the peak signal to noise ratio (PSNR), and entropy source code)

象群游牧算法，求解函数优化问题及多目标优化问题。(Elephant herding optimization algorithm is used to solve function optimization problems and multi-objective optimization problems.)