s10-(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.

基于夹套式全混流换热罐模型化微分方程的龙哥库塔法(Long Ge Kuta method based on differential equations of the jacketed continuous stirred tank heat exchanger tank model)

说明：  系统模拟仿真了OFDM在有线信道的时域均衡算法。(failed to translate)

对光纤传输系统中的色度色散进行了仿真，超级正确(pair of optical fiber transmission system of chromatic dispersion for simulation, the Super correct)

Signal Processing in MATLAB

无迹卡尔曼粒子滤波，有效的估计状态,ZHENHAO YONG(An unscented Calman particle filter is used to estimate the state effectively)

几个matlab小程序，主要用于遗传算法仿真(Several small matlab program, mainly for genetic algorithm simulation)

研究空间分配，测试程序，为保障有效运行，请注意安装环境软件的版本正确与否(study for space resonability)

A custom view for an item in the contact list.

基于MATLAB平台上，计算HU矩的算法编程。可以不用花时间去考程序源代码和下载链接。 (MATLAB-based platform, the calculation of moments algorithm HU programming. Can not take the time to take a program source code and download link.)