zhixin

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)

《matlab神经网络43个案例分析》源码26，BP神经网络的分类——乳腺肿瘤诊断 ( Matlab neural network 43 Case Studies Source 26, BP neural network classification- breast cancer diagnosis)

The implementation of a mediana filter. usefull for many image procedures

Zero Forcing 联合 STBC 编码仿真，自带STBC编码，很全的。(Zero Forcing joint STBC encoder emulation, comes with STBC encoding is complete.)

关于图像的均衡化，绘制图像的灰度直方图，得到均衡化以后的图像(Equalization on the image and draw the image histogram, image obtained after equalization)

Simple Image Recovery method

这是关于数字水印的嵌入例程！经过调试，可以放心使用！(This is on the digital watermark embedded routines! After debugging, can be assured use!)

matlab实现的遗传算法,包括编码,解码,选择,交叉,变异,每个过程都有独立的m文件,外加上一个PDF说明(matlab implementation of the genetic algorithm, including encoding, decoding, selection, crossover and mutation, each process has its own m-files, plus a PDF description)

该文件为libsvm核心数据集文件，用于测试libsvm安装和学习开发。(This file is libsvm core data set files for testing libsvm install and learn to develop.)

matlab函数大全，是广大爱好者的极好的学习工具(matlab function Guinness, the vast number of fans an excellent learning tool)