mpcPID2

用MATLAB软件中的TRUETIME工具箱 对无线网络进行仿真的例子~(TRUETIME using MATLAB software toolbox of wireless network simulation example ~)

字符分割MATLAB源代码。你懂得。字符分割MATLAB源代码。你懂得。字符分割MATLAB源代码。你懂得。(fdsfsfasfasdfsdfsdfdfs)

处理文字得到笔画,内有实验图片，实验阶段，可以运行，环境matlab2009a(Word processing to get strokes, there are experimental pictures, the experimental stage, you can run, environmental matlab2009a)

自己写的程序，光栅中线性啁啾仿真，分析光栅特性很有用，(Write their own programs, the linear chirp grating simulation, analysis Gratings useful)

一个用matlab编写的用公式算法解决微波网络中的双支节匹配的问题(An equation using matlab algorithm to solve microwave network using the double-stub matching problem)

理解掌握 Poisson过程的理论，了解随机过程的模拟实现技术，学习并掌握在实际中如何检验给定的随机过程是否为Poisson过程 (Poisson process, understand and grasp the theory of stochastic processes to achieve understanding of simulation techniques to learn and master in practice how to verify whether a given stochastic process for the Poisson process)

Hirani and Totsuka s paper about method of image reconstruction. Presented in 1996.

the file contains detection and estimation theroy codes

高频地波雷达线形天线接收阵列信号处理中的信号检测两维CA信号处理例程(HF radar linear array antenna to receive the signal processing two-dimensional signal detection signal processing routines, CA)

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)