PaperFigParamerTest

说明：  matlab环境下 实现的3类分类的KNN算法(KNN algorithm to classify three classes developed by matlab)

包括单边带、双边带、载波抑制及四倍频,窗函数法设计一个数字带通FIR滤波器，插值与拟合的matlab实现。( Including single sideband, double sideband, suppressed carrier and quadruple, A window function design FIR digital band-pass filter, Interpolation and fitting matlab implementation.)

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

Delete File System Minifilter Driver

二为弹性波动程序,用于显示p波，s波和表面波的传播过程。(Elastic Wave Program)

有关回归分析的所有算法，包括详细的原理介绍及具体的matlab代码，很适合初学者使用，及有关工程人员参考；其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等(All algorithms related to regression analysis, including a detailed description and the specific principles matlab code, it is suitable for beginners to use, and related engineering personnel reference which contains a linear regression, least squares estimation method, significant test, multiple linear regression using the regression model to predict, nonlinear regression, stepwise regression, etc.)

很清晰的二项分布 matlab 代码,有助于理解寿命分布(Binomial distribution is very clear matlab code to help understand the life distribution)

本程序针对一类不确定性非线性系统，利用输出反馈实现系统镇定，我用simulink做的一个仿真例子。(This procedure for a class of uncertain nonlinear systems using output feedback stabilization realize system, I used to do a simulink simulation example.)

各种调制方式的性能分析及其对比可以很直观的得到常见的几种调制方式的性能(Performance analysis and comparison of various modulation schemes)

參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」 Clustering-based Sparse Representation 的 matlab代碼(「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and Clustering-based Sparse Representation matlab code.)