kalman-filter-cs

matlab仿真膜极大值法检测信号突变点(matlab simulation of membrane maxima point mutation detection signal)

不同类型充电机组成充电站接入系统的谐波研究(Composed of different types of charger charging station access system harmonic study)

图像之后可以用来计算二维图像的形心坐标与二维图像目标物的面积。有实例图片。(After the image is two-dimensional image can be used to calculate the coordinates of the centroid of the area of ​ ​ the two-dimensional image of the target object. There are examples of pictures.)

快速傅里叶变换程序，供大家参考，matlab下运行，可以看波形(Fast Fourier transform procedures for your reference, matlab running, you can see the waveform)

说明：  将.txt格式的数据转换成svm所需要的格式(Will. Txt format data into the format required for svm)

this is the noise reduction source code. i hope this will be useful for every body who used it

马尔科夫链的Matlab源程序,求解多目标优化问题所得结果是一个优化解集,求解多目标优化问题所得结果是一个优化解集(Markov chain Matlab source, multi-objective optimization problem the result is an optimized solution set for solving multi-objective optimization problem the result is an optimized solution set)

一些实用的MATLAB源程序，包括滤波、边缘检测等等(These MATLAB functions were created for the book Digital Image Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Hall, 2004, ISBN 0130085197. The functions supplement and extend the image processing functionality of MATLAB and the Image Processing Toolbox, both offered by The MathWorks. )

The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！(EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!)