GMM-Document-with-Matlab-code

运用firls设计的滤波器进行滤波 运用remez设计的滤波器进行滤波(The use of the filter design firls filter designed to filter the use of Remez filter)

对EMD分解的改进，消除了EMD分解过程中的模态混叠现象，可以得到更准确的IMF分量(EMD decomposition for improvement, eliminating the EMD decomposition process modal aliasing, you can get a more accurate IMF components)

关于目标追踪的算法,用卡尔曼滤波方法，论文后面有相关的仿真图(a new way to track)

这是基本的基因表达式编程算法的主程序，也可以直接调用(Gene expression programming algorithm main program can also be called directly)

These are knn algorithm documentations...

模糊多目标粒子群算法，基于matlab环境，可供学习者参考。(Fuzzy multi-objective particle swarm algorithm, based on the Matlab environment for learners Reference.)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.

PCA Principle component analysis code

解决2004年数学建模第一问求出力机组的源码(In 2004, the solution of mathematical modeling for output unit ask source)

可用于图像处理，提取图像中隐藏信息，并对图像进行修改(Can be used for image processing, extracting images hidden information, and modify images)