dfittool

说明：  这是用MATLAB仿真平台，实现无线传感器网络定位算法仿真。(This is a MATLAB simulation platform, wireless sensor network localization algorithm simulation.)

实现hilbert变换，经过与matlab比较验证，结果相同(Achieve hilbert transform, through comparison with matlab verification, the same result)

参考《Multiple Object Tracker Using K-Shortest Paths》实现的代码，使用K最短路径实现多目标追踪功能。(Reference " Multiple Object Tracker Using K-Shortest Paths" to achieve code, use the shortest path K multi-target tracking capabilities.)

matlab simulink model for a nine level h bridge inverter

说明：  计算卫星之间的可见性预测时间，输入为卫星六根数(Visibility prediction algorithm between satellites)

用matlab写的模糊RBF辨识程序，做成了一个函数。(it is very important.)

Several GPU parallel processing papers for the NVIDIA CUDA programming language.

A super resolution algorithm implemented in matlab.

基本的贝叶斯算法（朴素贝叶斯算法，参照清华大学出版的模式识别）(The basic Bayesian algorithm (Naive Bayes algorithm, in the light of pattern recognition, Tsinghua University Publishing))

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.