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程序先SPRT假设检验功能。我们将通过SPRT的假设检验方法决定这组观测序列符合两个假设分布中的哪一个。(SPRT test)

matlab实现的数字水印 置换中频分量(water Mark)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

基于压缩感知的DOA估计，比较了OMP与L1范数的性能(DOA estimation based on compressed sensing, compare the performance of OMP and L1 norm)

基于MATLAB的交流电机仿真模型，通过程序计算，仿真可以得到定子、转子的的性能特征(The performance characteristics of the stator and the rotor are obtained by the simulation model of the AC motor based on MATLAB.)

均匀光栅C++仿真程序，传输矩阵法，方便学习(Uniform grating matlab simulation program, transfer matrix method)

DRROBOT I90的基本應用以及智慧型影像錄相機無線移動系統(The basic application DRROBOT I90, and intelligent video recorder wireless mobile systems)

计算ROC曲线和AUC的Matlab程序(Calculation of ROC curves and AUC of Matlab procedures)

说明：  一组信号进行小波分解后以及希尔伯特解调，快夫妇立叶变换(A set of wavelet signal decomposition and Hilbert demodulation and fast Fourier transform couples)

该文对压缩感知的原理及应用进行了简单的概述，内容包括信号的获取及压缩，压缩感知的理论框架、步骤等。(In this paper, the principle of compressed sensing and a brief overview of the application, including signal acquisition and compression, the theory of compressed sensing framework, steps and so on.)