CDMA_matlab

《系统辨识与自适应控制MATLAB仿真》的程序代码，有很高的参考价值。(MATLAB simulink)

阵列信号处理中的Capon法， 仿真不同SNR、不同阵元数、不同快拍数下的性能！ 原创(Capon array signal processing, simulation of different SNR, different number of array elements, different number of snapshots of performance under! Original)

图像篡改检测与修复 但是修复可以雷同 请自己对比修改(it is a program a usefull program)

说明：  这是一份高斯光束的轴向光强分布模拟程序，可以模拟高斯光束的光强以及其他光束(This is a simulation program of the axial intensity distribution of Gaussian beams, which can simulate the intensity of Gaussian beams and other beams)

topology opt code 110 line

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)

模拟地震波程序 能正常运行 可以显示剖面图(A complete simulation of the seismic forward modeling program, can run normally, perfect display of seismic wave profile)

KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.((KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.)

matlab做的图像检索文档。里面3组图片可以试一试。(Matlab to do image retrieval. In 3group of pictures can try.)

DHMM，离线隐马尔科夫模型用于模式分类的好例子，特征采用Kmeans进行离散化。(DHMM, off-line Hidden Markov Model good example for pattern classification, feature discretization using Kmeans.)