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matlab的物理应用，对做物理实验的数据处理很有帮助(matlab physical application to do physics experiments data processing helpful)

合成孔径雷达影像滤波程序，用matlab编写，在去除图像中的斑点（乘性噪声）方面有一定的作用。(Synthetic aperture radar image filtering process, using matlab prepared to remove the image spots (multiplicative noise) has a certain role.)

利用一数学仿真工具构建一16-QAM的通信系统 工具：推荐使用Matlab,可使用信号处理工具箱但不能利用通信工具箱(The use of a mathematical simulation tools to build a 16-QAM communication system tools: Recommended use of Matlab, Signal Processing Toolbox can be used but not the use of communication toolbox)

基于一篇文章的代码实现-结合场景信息进行的目标分类（文章及文件名）(An article based code implementation- combined with scenes of target classification information (articles and file name))

本文详细介绍了最大独立集的频谱分配算法，如果不考虑认知用户之间的干扰关系以及频谱的效益，本文值得读者借鉴(This paper describes the spectrum allocation algorithm for maximum independent set, if you do not consider the relationship between cognitive interference between users and spectrum efficiency, this article is worth the reader learn)

《先进PID控制MATLAB仿真》 程序(the program of advance pid control of matlab)

I send matlab codin for OFDM transceiver design

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

ppt文件，是matlab的一些基础知识，很有用(ppt files, are some of the basics of matlab, useful)

实现了对10个数字音的识别，JhgOJCD参数基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成，matlab开发工具箱中的支持向量机，xifIDUF条件包含特征值与特征向量的提取、训练样本以及最后的识别，主要是基于mtlab的程序。( To achieve the recognition of 10 digital sound, JhgOJCD parameter The commonly used digital signal modulation based on artificial neural network, Filtering summation way broadband beamforming, matlab development toolbox support vector machine, xifIDUF condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly based on the mtlab procedures.)