oose

2011年秋季 北京航空航天大学惯性导航原理第二次大作业(2011 inertial navigation the second homework of beihang university )

Fixed lag smoother, some errors are modified.

matlab 实现PCA算法，可以输出识别率，有详细注释，值得一用(Face Recognition Using PCA algorithm procedure, with annotations, 88 recognition rate )

这是MosaicKit的matlab程序，可以用于图像融合等(This is the Matlab MosaicKit procedures can be used for image fusion, etc.)

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

这是本人原创的数学建模论文，希望对参加数学建模建模的同学有帮助(This is the mathematical modeling of my original thesis, I hope to help students to participate in the mathematical modeling modeling)

matlab 图像分析 包括（边缘检测 ；微分算子 ；Log算子 ；Canny 算子 ；四叉树分解 ；四叉树分解 ；四叉树及相应的MATLAB 函数 (the Matlab Image Analysis (edge ​ ​ detection differential operator Log operator Canny operator quadtree decomposition quadtree decomposition quadtree corresponding MATLAB function)

It a adaptive filtering book, which consist of Wiener filter, LMS, NLMS and RLS algorithms and lots of matlab implementation. It s so practical for adaptive filtering algorithms.

说明：  有关于混沌系统的特性的一些仿真程序，试过的，可以正确运行，希望大家能够交流。(About some of the characteristics of chaotic system simulation program, tried, and can be run properly, I hope we can exchange.)

气象雷达的仿真与分析，为研究机载雷达的工程人员提供真实有效的理论分析与仿真(Modern estimation theory and artificial intelligence technology are applied to the Wind Shear Safety Advisor, a conceptual airborne advisory system to help flight crews avoid or survive encounter with hazardous low-altitude wind shear. Numerical and symbolic processes of the system fuse diverse, time-varying data from ground-based and airborne measurements. Simulated wind-shear-encounter scenarios illustrate the need to consider a variety of factors for optimal decision reliability. The wind-shear-encounter simulations show the potential of the Wind Shear Safety Advisor for effectively integrating the available information, highlighting the benefits of the computational techniques employed.)