matlabwt

在线极限学习机函数，包含拟合和分类功能，有详细注释(Extreme Learning Machine function includes fitting and classification, detailed notes)

one spectral clustering algorithm for matlab

使用低通滤波器，观察原始图像与以图形形式显示的高斯低通滤波器的差别，显示频谱和处理后的图像！(Using low-pass filter to observe the original image and displayed in graphical form of the difference between the Gaussian low pass filter, display the spectrum and the processed image!)

计算交流潮流，直流潮流，最优潮流和静态机组组合。(Calculation of AC current, DC power flow, combination of optimal power flow and static unit.)

This code is a matlab Artificial Bee Colony based Polynomial neural network, using set is CHD,HOUSING,JENKIN,MACKEY.

图像配准算法 matlab 挺好用的，可以参考一下(Image registration algorithm matlab, very good, you can refer to)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

说明：  一段带噪信号经过一butterworth低通滤波器后的输出，再求出其频谱！(butterworth)

An.Introduction.to.Programming.and.Numerical.Methods.in.MATLAB.-.S.R.Otto.&.J.P.DenierMATLAB 经典外文书籍(An.Introduction.to.Programming.and.Numerical.Methods.in.MATLAB.-.S.R.Otto.&.J.P.DenierMATLAB classic books)

说明：  倒立摆全状态观测器设计，在Matlab/Simulink仿真环境中实现仿真！(State observation design)