Antenna

魔术公式，汽车模型，四轮的，但没有数据，有公式(Magic formula，Car model)

matlab语言基本规则介绍，包括变量定义，数组声明，循环遍历等(The basic rules of the matlab language introduction, including variable definitions, array declaration, loop through)

非线性和非平稳时间序列突变检测的新方法—BG分割算法(Nonlinear and non-stationary time series new method of mutation detection-BG segmentation algorithm)

这是对波场做的一个TP变换，并进行反变换的程序。用matlab实现，可以实现波场分离的效果，文件中还自带了一个简易的理论地震记录(This is the wave field so a TP transform, and transform the process. Using Matlab to achieve, can achieve a separation of wave field effect, the paper also carried with them their own a simple theory of seismic records)

小波变换及其MATLAB工具的应用，这个供大家学习研究用(Wavelet Transform and Its Application of MATLAB tools, for them to learn from this study)

说明：  给定入射信号角度分别为 -22度 ，6度，18度时，不同信噪比情况下各种空间谱估计算法得到的曲线图(given incident signals point to-22 degrees, 6 degrees, 18 degrees, the signal to noise ratio under different space spectral estimation algorithm of the curve)

说明：  天线仿真源代码，在MATLAB平台上运行，程序完整。(Antenna simulation source code in the MATLAB platform, the program integrity.)

CreateConstellations.m用matlab实现一个星座图象(CreateConstellations.m using Matlab achieve a constellation of images)

it is a rar file containing source codes of matlab

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)