Hbridge

OFDM信号瑞利衰落信道的matlab仿真，包括一个word文档以及仿真程序。(OFDM signals in Rayleigh fading channel matlab simulation, including a word document as well as the simulation program.)

FastSLAM1.0/2.0的仿真，在matlab环境下实现。对研究移动机器人同时定位与建图的研究者是非常不错的参考。(FastSLAM1.0/2.0 the simulation environment in Matlab under. Mobile robots to research the same time positioning and building plans of researchers is a very good reference.)

基于16QAM调制的空时编码，通过仿真可以实现空间分集增益(16QAM modulation-based space-time coding, spatial diversity gain can be achieved through simulation)

these are simulink files made to mitigate the sags and swells in the power system

内含高等数值分析中lanczos过程.minre算法，cg法的matlab程序(Contains advanced numerical analysis lanczos process. Minre algorithm, cg method matlab program)

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The algo proceeds in 3 steps 1. spatial filtering 2. phase gradient estimation 3. IOC using recurrent networks (The code implements the optical flow algor ithm described in Gautama, and T. Van Hulle. M.M. (2002). A Phase-based Approach to the Esti mation of the Optical Flow Field Using Spatial F iltering, IEEE Trans. Neural Networks, 13 (5), 1127-- 1136. The algo proceeds in a three steps. spat ial filtering 2. 3 phase gradient estimation. I OC using recurrent networks)

FOA修改程序，由台湾老师潘文超提出的一种群体智能算法(FOA modify the program, a swarm intelligence algorithm proposed by Taiwan teacher Pan Chao)

该例子介绍了zemax在序列模式下融入非序列，光线从每个被定义的场点(Field Point)射向系统孔径，并且穿越非序列性表面(NSC Surface)前的所有序列性表面(In NSC with Port Design, the system uses the system as defined in aperture (System Aperture) and field (Field) in the sequence mode. The light from each field defined in point (Field Point) fired at the system aperture, and through all sequences of non-sequential surface (NSC Surface) before surface)

TE模特征方程的MATLAB图解TE模场分布的MATLAB图示(TE mode characteristic equation of the MATLAB graphical TE mode field distribution of the MATLAB icon)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)