Q2

一个基于Simulink的UKF教程,它涵盖了从设计，仿真，硬件在环测试，并建立一个独立的嵌入式系统的开发过程。(Unscented Kalman filtering tutorial: Simulink and tilt sensor case study. It covers the development process from design, simulation, hardware-in-the-loop testing, and creating a stand-alone embedded system. The content is supposed to be as simple/introductory as possible.)

固定收益经典文献，详细论述各类固定收益产品设计与开发，不可多得的学习材料。(Fixed Income classic literature, discussed in detail the design and development of various types of fixed-income products, a rare learning materials.)

粒子群优化算法 包含3个文件 AsyLnCPSO PSO SelPSO(Particle Swarm Optimization)

MUSIC算法源程序MUSIC算法源程序MUSIC算法源程序MUSIC算法源程序MUSIC算法源程序(MUSIC algorithm source codeMUSIC algorithm source codeMUSIC algorithm source codeMUSIC algorithm source code)

多源测试与信息融合证据理论作业,根据文献内容编写，用于北京航空航天大学多源测试与信息融合课程参考(Multi-source information fusion theory of evidence testing and operations)

说明：  插值问题：实现了三次自然样条插值函数和Lagrang插值多项式(Interpolation: Implementation of three natural spline interpolation polynomial functions and Lagrang)

SHUNT N SERIES COMBINATION DESING OF UPQC....

backstepping tutorail

说明：  用于风功率预测的ARMA代码，可在matlab上运行，包含风电数据。(ARMA code for wind power prediction can be run on matlab, including wind power data)

IEEE39节点电力系统标准参数和潮流数据(IEEE39 node power system standard parameters and trend data)