poissonal

This file contains a whole package of Matlab simulation along with the results

这是一个MATLAB图像处理程序，可以实现对图像的预处理(This is a MATLAB image-processing program, you can achieve the right image preprocessing)

姿态估计的源码，可以快速算出xyz坐标，数据可以通过matlab等进行二次开发。(Pose estimation of source code, you can quickly calculate the xyz coordinates, matlab and other data can be secondary development.)

adaptive huffman coding and decoding in matlab..

用matlab实现的pca算法，用于将维，适用于各种种试验，如人脸识别程序源码 (Achieved using matlab pca algorithm for peacekeeping, applicable to various types of tests, such as face recognition program source code)

Matlab的行优先算法，可以方便的判断对如机场、火车站、公交车的就座问题进行分析(Matlab line priority algorithm, it will be convenient for the judge, such as airports, railway stations, bus seat to undertake an analysis of)

模糊数学在聚类分析中的作用(matlab代码)(Fuzzy clustering analysis of the role in the (matlab code))

本代码提供SVD算法Matlab实现，实现SVD分解，并返回分解值。(This code provides SVD algorithm Matlab, the realization of SVD decomposition, and a return value decomposition.)

Tsai标定法的matlab实现 完成图像坐标到世界坐标的转换(Tsai calibration method to achieve the completion of the matlab image coordinate to world coordinate conversion)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)