Seed

本实验先利用Mathematica求解非线性方程（组）,探索不动点、分形的性质.(In this study, the first use of Mathematica for solving nonlinear equations (group), explore the fixed point, fractal nature.)

说明：  系统介绍了几种常用的小波变换程序（matlab）(The file introduces some common wavelet transformation programs )

实现混合高斯背景建模，对给定图像序列进行背景建模.内置的参数可以自行修改，以适用不同的应用需求。(mixture of gaussian，it will help you to construct the background model of series frames)

关于lms的作业，有详细的注释，程序经过验证没有问题，(homework for the lms，)

calssification algorithm

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

4qam调制信号通过瑞利信达的matlab仿真(4qam modulated signal by Rayleigh up matlab simulation)

说明：  图像的颜色处置 矢量数据的显示 图像分析 进度条的使用 等100个程序实例(The color image display vector data disposal of the progress bar the use of image analysis such as 100 instances)

使用harris方法提取特征点，并保存特征点坐标(To extracted feature points use harris, and save the coordinates of the feature points)

Matlab+YALMIP+CPLEX解决带储能的微电网优化调度问题，以微电网运行成本最小为目标函数，约束条件包含蓄电池SOC约束、交换功率约束、功率平衡等约束，本程序已在Matlab 2015b平台，yalmip version：20171121 CPLEX version：12.8教育版 验证成功(Matlab+YALMIP+CPLEX solves the optimization scheduling problem of microgrid with storage energy, taking the minimum operating cost of microgrid as the objective function. The constraints include the constraints of the battery SOC constraint, the switching power constraint, the power balance and so on. This program has been verified on the Matlab 2015b platform, yalmip version: 20171121 CPLEX version:12.8 Education edition.)