cengcifenxiAHP

应用于航空摄影测量竖直摄影模型的空间后方交会，用迭代的方法求解，摄像机的6个外方位元素(Measurement of vertical aerial photography used photographic model space resection, using an iterative method for solving the camera of the six exterior orientation elements)

Matlab提取主分量矩阵。程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量()

matlab的入门教程,Power point制作(matlab introductory tutorial, Power point production)

to detect the skin color

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

预失真补偿后的图形,采用快速傅里叶变换（Fast Fourier Transform, FFT） 计算得信号的频率数据，再利用得到的频率数据计算功放预失真补偿前后功率谱密度 样值(Predistortion compensation of graphics, using the Fast Fourier Transform, Fast Fourier Transform and FFT) Calculate signal frequency data, then get the frequency of the power spectral density before and after data computing power amplifier predistortion compensation Sample values)

LAST one sample file

说明：  张正友摄像机标定matlab程序摄像机标定姿态估计(Zhang Zhengyou matlab camera calibration procedure is estimated camera calibration posture)

MATLAB c++ 可以实在嵌入式的环境下联合编程。联合仿真(MATLAB c++ can be embedded in the environment is the joint programming. Co-simulation)

说明：  对二维情况下的Pareto进行指标分析，主要分析超体积指标（Hypervolume），平均欧几里得距离（Mean Euclidian Distance）和均匀度（Spacing Index）(This paper analyzes the Pareto index in two-dimensional situation, mainly including the hypervolume, mean Euclidean distance and spacing index)