pca

牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)

说明：  利用matlab来实现人脸识别，人脸识别模板匹配，(Face Recognition Template Matching)

利用改进的经验模态分解方法检测QRS波群(The improved empirical mode decomposition method detection QRS complex group)

此文件一共包含3个m文件。第一个文件的功能是绘制一个二值图像，并显示其傅立叶幅度谱。文件2功能是设计频域理想低通滤波器，并加以验证：读入一个二值图像(cameraman.tif)加噪声后在频域进行低通滤波观察滤波后的图像效果。文件3的功能是对图像eight.tif加入椒盐噪声后，实现Butterworth低通滤波.(This file contains 3 m documents. Functions of first file is to draw a binary image, and displays its Fourier amplitude spectrum. Document 2 is designed to function a frequency domain ideal low-pass filter , and verified it: reading a binary image (cameraman.tif) plus noise on it and smoothing it in the frequency domain using low-pass filtering.The filtered effect will be observed by displaying image.Document 3 is designed to read a binary image(eight.tif) and add salt and pepper noise on it, realized frequence domain Butterworth low-pass filter.)

本文详细介绍了快速传递对准滤波器的设计，并进行了模拟仿真验证，给出了结果分0析，验证了方法的有效性。(This paper describes a rapid transfer alignment filter design, and carried out a simulation to verify, given the results of sub-0 Analysis, verification of the effectiveness of the method.)

说明：  转载的，通过眨眼前后灰度图对比是别人眼，一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)

该matlab代码实现了plsa算法。plsa全称是概率隐语义分析，是一个非常重要的隐语义分析模型。(This matlab code implements plsa algorithm, which is the short of probability latent semantic analysis and is a very important latent semantic analysis model.)

去噪算法matlab源码三合一，包含BLS-GSM，BM3D，NLM(Denosing algorithms 3 in 1, include BLS-GSM+ BM3D+ NLM)

说明：  基于BP神经网络的鼠标手势识别算法与实验程序GestureStudy(BP neural network based on the mouse gesture recognition algorithm and experimental procedures GestureStudy)

时移相位差校正法，通过时移，进行前后两次FFT分析，利用离散频谱对应峰值谱线的相位差以求出频率和相位校正量。(Phase difference correcting method by time-shifting. Make two FFT analysis before and after the time-shifting,and make use of the phase difference of the peak spectral lines to get frequency and phase correction amount.)