GRNN

2013年“高社杯”数学建模b题，对于纵向切割的图片复原。 使用方法：打开matlab，调整工作目录为解压后的文件夹，在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)

SOLVE PROGRAM RBF Interpolation BY ICA

正弦信号加载2 的白噪声后的功率频谱图以及加载后的失真度计算(Sinusoidal signal loading of 2 white noise power spectrum and the calculated distortion after loading)

基于sparse coding的人脸检测，很好的学习代码(face detection based on sparse coding!)

基于matlab的数字图像的二维傅立叶变换(FFT)以及二维离散余弦DCT变换，提供里详细代码，.m文件(Matlab-based digital image two-dimensional Fourier transform (FFT) and two-dimensional discrete cosine transform DCT offers in detailed code,. M file)

Simulink linear pll

该软件包包含了合并执行在MATLAB9升-1的最小化算法。每个函数都使用一组参数是一致的（如停止准则和公差）与我们的基准脚本接口。 正交匹配追踪：SolveOMP.m 原对偶内点法：SolvePDIPA.m 梯度投影：SolveL1LS.m 同伦：SolveHomotopy.m 迭代阈值：SolveSpaRSA.m 近梯度：SolveFISTA.m TFOCS：SolveTFOCS.m SesopPCD：SolveSesopPCD.m 原始增强拉格朗日乘子：SolvePALM.m 双增广拉格朗日乘子：SolveDALM.m SolveDALM_fast.m(The package contains L1 minimization algorithm. such as SolveSpaRSA.m、SolveFISTA.m)

说明：  用鲁棒控制方法来控制一个简单的二阶机械系统：质量块-阻尼器-弹簧系统。该系统是本科生实验教学中常见的控制实验装置。作为本书中的第一个案例，将针对该装置介绍三种控制器的详细设计方法，分析闭环系统的鲁棒稳定性和鲁棒性能。为了简化设计过程，此处仅考虑模型的结构扰动（参数扰动）。针对此例，介绍了matlab鲁棒控制工具箱（Robust Control Toolbox）一些鲁棒控制器设计指令。希望此章的学习不仅能够教授鲁棒控制系统设计方面的知识，也能够教会大家如何使用鲁棒控制工具箱。(Robust control method is used to control a simple second order mechanical system: mass damper spring system. The system is a common control experimental device in undergraduate experimental teaching. As the first case in this book, the detailed design methods of three controllers for the device are introduced, and the robust stability and robust performance of the closed-loop system are analyzed. In order to simplify the design process, only the structural disturbance (parameter disturbance) of the model is considered here. For this example, some robust controller design instructions of MATLAB robust control toolbox are introduced. I hope that this chapter can not only teach the knowledge of robust control system design, but also teach you how to use robust control toolbox.)

it is the project developed in matlab to remove noise

face detection it is used to identify the face and its systematic way