ddsmatlab

This code is used to findout preprocessng tools of the Image.

使用经验模式分解算法的论文集与源码包，包括了最新的EMD工具箱及其使用手册，是一套可以直接应用的软件(The use of empirical mode decomposition algorithm for a collection of essays and source packages, including the latest EMD toolbox and how to use manual is a set of software that can be applied directly)

说明：  人脸检测的MATLAB代码，包括训练过程。程序的中间用到了PCA的方法。(MATLAB code for face detection, including the training process. Procedures used in the middle of the PCA approach.)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

This is MATLAB program

用于图像去噪算法实现，多种去噪算法在matlab 中的应用(Image denoising algorithm)

基于样本和主轴核函数的相似度的动态聚类算法程序(based on samples and nuclear spindle function of the similarity dynamic clustering algorithm procedures)

MATLAB 主要函数指令表，为初学者提供参考。(The main function of MATLAB instruction sheet, provide a reference for beginners.)

说明：  利用时域有限差分（FDTD）仿真三维（3D）电磁波的传播，吸收边界条件为完全匹配层（PML）。(The use of finite difference time domain (FDTD) simulation of three-dimensional (3D) electromagnetic wave transmission, absorbing boundary condition for the perfectly matched layer (PML).)

This function (trainClassifierExample.m) is a tutorial/example on how to create a user-defined vision.CascadeObjectDetector detector. This function uses an attached webcam to take video of a user and builds a detector on their face. From this example hopefully it is clear how to generate detectors for any general object class. Faces are used in this example since the labeling can be done autonomously using a pre-trained face detector