utility

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)

A simple function for drawing a circle on graph.

ftconfig.in UNIX-specific configuration file (specification only).

Le Descripteur SIFT (Scale Invariant Feature Transform) [1] consiste a extraire un histo- gramme d orientations de gradients autour d un point d inter^et de l image. Le principe du calcul du descripteur est illustre a la gure

这是一个由matlab编写的RTH基础隔震试验仿真。可帮助初学者理解RTH的概念和建立在原始演示系统的单度自由RTH多自由度体系。它还允许用户选择不同的隔震层参数的确定对结构响应的影响。(This is a matlab prepared by the RTH base isolation test simulation. The concept can help beginners understand RTH and based on the single degree of freedom RTH original demo system of multi degree of freedom system. It also allows the user to select the isolation layer parameters of different effects on the structural response.)

digital communication solution

《Boost程序库探秘:深度解析C++准标准库》深入探讨了其中的许多重要组件，包括迭代器、函数对象、容器、流处理、序列化以及C++语言中最复杂最具威力的模板元编程。(" Boost library Quest: C++ quasi-depth analysis of the standard library" deeply explored many of the important components, including iterators, function objects, containers, stream processing, sequencing, as well as the most complex language C++ most powerful template meta-programming.)

VOLUMEMESH Creates solid volume metal meshes and their modificitations

narmamaglev 神经自校正控制系统，narma-l2控制模块，反馈线性化控制，直接自校正控制(narmamaglev neural self-tuning control system, narma-L2 control module, feedback linearization control, direct self-tuning control)

说明：  一个包含多个matlab文件的工具包，利用它可以方便使用模糊c均值聚类(Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering)