antAlgorithm

QPSK调制解调的系统仿真实验，介绍了如何用matlab对其仿真(QPSK modulation and demodulation of system simulation experiments, describes how to use their simulation matlab)

说明：  用MATLAB实现的S变换函数，具有FFT和小波变换的特性，是信号时频分析的有力工具，希望对大家有帮助。(Using MATLAB S-transform function, with the characteristics of FFT and Wavelet Transform is a powerful tool when the signal frequency analysis, we want to help.)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

说明：  MATLAB练习程序，练习各种曲面的绘制，双曲面，马鞍面等。(MATLAB exercise program, practicing a variety of surface drawing, double-curved, saddle noodles.)

最小二乘法的Matlab参数辨识程序，每一步的解释都非常易懂清晰，是一个很好的matlab例子(Matlab least squares method parameter identification procedures, the explanation of each step are very easy to understand clearly, is a good example of matlab)

基于分形理论的WZ模型的圆板绝缘系统击穿时电树枝现象的计算机模拟。(The simulaton of electrical tree growth based on fractal theory and WZ model.)

读网表程序，用于Matlab 控制Pspice(Read netlist procedures)

MATLAB频散曲线绘制，相速度，群速度(MATLAB dispersion curve drawing, phase velocity, group velocity)

运动目标跟踪程序-MATLAB源代码,利用camshift和meanshift实现运动目标的跟踪(Moving target tracking program - MATLAB source code, using camshift and meanshift to achieve tracking of moving targets)

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)