MatlabOptimizationToolbox(documentation)

FAST K-NEAREST NEIGHBORS SEARCH (FAST K-NEAREST NEIGHBORS SEARCH Description You can find the description at: http://www.advancedmcode.org/gltree.html A Pro Version has been published on: http://www.advancedmcode.org/gltree-pro-version-a-fast-nearest-neighbour-library-for-matlab-and-c.html Acknowledgements The author wishes to acknowledge the following in the creation of this submission: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH This submission has inspired the following: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH, FAST K-NEAREST NEIGHBOURS SEARCH 3D VERSION MATLAB release MATLAB 7.5 (R2007b) Other requirements Need a mex compiler Zip File Content Other Files BuildGLTree2DFEX.cpp, BuildGLTree2DFEX.m, DeleteGLTree2DFEX.cpp, DeleteGLTree2DFEX.m, GLTree2DFEX.cpp, GLTree2DFEX.h, license.txt, NNSearch2DFEX.cpp, NNSearch2DFEX.m, TestMexFiles.m )

使用MATLAB建立一个AR模型,并画出图形进行比较(Use MATLAB to build a AR model, and draw graphics comparison)

有源自适应噪声的最常用算法，该算法是基于滤波器的输出信号与期望响应之间的误差的均方值为最小。(Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.)

实现spwm的fft频谱分析，数据计算的范例程式。(Achieve spwm FFT spectrum analysis, data sample program.)

双稳态随机共振的参数寻优算法，先固定b，寻求a，画出随a的信噪比增益变化曲线(Parameter stochastic resonance algorithm)

如题，混沌系统相关matlab程序代码，应该比较全了(Such as title, chaotic system matlab code, all)

gui界面，读取xlsx中特定sheet，sheet中最后一列为y，前n列为x1-xn，线性拟合为y=b0+b1x1+...+bnxn，显示公式和残差的标准差(The GUI interface reads the specific sheet in xlsx, the last row in sheet is y, the former n is x1-xn, and the linear fitting is y=b0+b1x1+ (+bnxn), showing the standard deviation of formula and residuals.)

说明：  运用高斯积分法计算一维二维三维函数的数值积分(Gaussian integration method using two-dimensional three-dimensional function of one-dimensional numerical integration)

CoSaMP算法，在重构信号时，选取两倍稀疏度的原子来恢复原始信号，再删去一倍稀疏度的原子。(CoSaMP algorithm, in the reconstructed signal, select twice the atomic sparsity to recover the original signal, and then deleting the double sparsity of atoms.)

this is implementation steganography using LSB, you must try code. i think