一个好的车间作业调度源代码例程

周期高斯一介导、高斯二介导即高斯脉冲（即UWB信号）的功率谱图像，对应不同的占空比和不同的脉冲形式，随着阶数的增加中心频率右移，频谱也为高斯形式，且随着周期数增多，呈现线谱形式(Cycle Gaussian ordinary derivative, ie the Gaussian two-mediated Gaussian pulse (the UWB signal) of the power spectrum image, corresponding to different pulse duty cycle and a different form, with the increase of the order of the center frequency shifted to the right, the spectrum also Gaussian form, and with the number of cycles increased, showing the form of line spectrum)

车牌识别的全套MATLAB算法，附3篇参考文献(The full set of MATLAB license plate recognition algorithm, with three references)

传输速率与码元宽度关系的matlab程序(Transmission rate and the width of the relationship between code element in matlab)

主要是实现分类的功能，多分类，很容易理解，更换数据就可以实现不同东西的分类(The main function is to achieve classification)

禁忌算法matlab编程实现，处理非线性优化问题(Dealing with nonlinear optimization problems)

Comparison of bit error rate using OFDM and BPSK

This file is the programs of (chapter 2) of book (Modeling the Wireless Propagation Channel a Simulation Approach with MATLAB) which is related to shadowing effects. It helps you to simulate wireless shadowing effects.

matlab 神经算法常见工具箱，可以帮助解决大部分作业和设计(common neural algorithm matlab toolbox that can help resolve most jobs and design)

均匀圆阵的波束方向图 注释明了 易懂 对阵列信号初学者有益(Uniform circular array beam pattern annotation beneficial array signal clear and understandable for beginners)

在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak))