EKF

大气模型计算，本软件可实现计算不同高度的密度、气压等参数。(Atmospheric model calculations, the software can realize a high degree of different density, pressure and other parameters.)

萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]： 萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫 吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少 如果没有比一个给定的萤火虫更亮的萤火虫，它会随机移动。 亮度应与目标函数联系起来。萤火虫算法是以自然为灵感的启发式优化算法(The Firefly Algorithm (are) Algorithm is a kind of heuristic Algorithm, inspired by the behavior of the fireflies flash. Fireflies flash, its main purpose is to as a signaling system, to attract other fireflies. The university of Cambridge, Xin- She Yang (transliteration: Yang Xinshe) professor firefly algorithm is proposed, its hypothesis in [1]. Fireflies regardless of gender, such a firefly will attract all the other fireflies Attractive proportional to their brightness, for any two fireflies, less bright fireflies are attracted, so moving to a brighter, however, brightness and reduce with the increase of the distance If there is no more than a given fireflies light of fireflies, it will move randomly. Brightness should be linked with the objective function. The firefly algorithm based on natural inspiration of heuristic optimization algorithm)

说明：  包含平行延拓法，边界局部尺寸延拓，极值延拓，基于ISMB的延拓方法(It includes parallel continuation method, boundary local dimension extension, extremum extension and ISMB based extension method)

数字细化完整代码，分模块细化，可用于数字识别(License plate number of refinement code)

本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 仅含有Ez,Hx,Hy分量 (the two-dimensional program TM wave FDTD simulation procedure set up by PML absorbing boundary conditions for containing Ez , y, Hy weight)

Dataset nn sound for matlab

alphablending for mmx

Angle between two points

cours systeme temps reel

本程序完成地震信号的提取检测。以往都是利用地震信号的能量比，此处创新选择地震信号的过零点作为边缘提取的判断。新方法效果不错。(The process is complete extraction of seismic signal detection. Past, the energy ratio of seismic signal, where innovation and choice as the seismic signal zero-crossing edge detection judgments. The new approach is very effective.)