Attitude_process

基于信任度分配的cmac小脑神经网络算法(based on the distribution of trust cmac small brain Network)

飞行力学的相关知识，如坐标系之间的转换，不同高度下压力、密度等的计算，以及一些插值算法的应用(Calculation of the flight mechanics knowledge, such as the conversion between the coordinate system at various altitudes pressure, density, etc., and the application of some interpolation algorithm)

Mo phong cac tham so

北京航空航天大学出版的matlab从零进阶的原程序代码第1章案例21.1源代码(Beijing University of Aeronautics and Astronautics published matlab from the original program code zero Advanced Case 21.1)

matlab detailed introduction updation lecture 2

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

it is a book with this name Architecting Secure Software Systems

analog communication lab experiments and source codes using MATLAB

Simple exception class used to communicate that the command-line tool should print the usage message.

This program show the effect of Gaussian filter. The output are four subfigures shown in the same figure: