DDC

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)

说明：  此文件是关于卡尔曼滤波器的算法的matlab文件，通常改变其中的参数能够进行不同的仿真。在研究信号方面或者进行定位能用到(This file is on the Kalman filter algorithm matlab file, typically change the parameters of which can be a different simulation. Signals in the study or can be used to locate)

Matlab与数值分析实验：一本比较好的MATLAB书籍，适合于初学者(Matlab and numerical analysis of experiments: a good MATLAB books for beginners)

去处干涉条纹最有效的频域消除法，非常实用，效果极佳。(supress grid by frequency domain, very practical with high efficency)

　　这包括代码为“扩展”和“减少”程序,对高斯图像金字塔,探讨了作为一个紧凑的拉普拉斯金字塔图像编码”-伯特和Adelson,1983年。 　　 　　重要的应用同样的包括运动估计精度等。(This contains the code for the Expand and Reduce routines for Gaussian image pyramids, as discussed in the Paper- " The Laplacian Pyramid as a Compact Image Code"- Burt and Adelson, 1983. Important applications of the same include motion estimation etc.)

用于求解声场在波导中的分布,并研究入射声波在非均匀介质中的传播情况(get the distribution of the pressure)

星座图的画法 matlab 两种画法 仅供学习(constellation diagram )

The matlab code to match using correlation function.

基于matlab的OFDM 方案的DVB-T实现，对系统实现给予详细描述，并附带相应代码(OFDM Simulation Using Matlab)

A major challenge to MIMO-OFDM systems is how to obtain the channel state in- formation accurately and promptly for coherent detection of information symbols and channel synchronization.