Euler-explicit

说明：  此程序给出一个简单的粒子滤波编程，通过一个简单的例子来分析粒子滤波算法与EKF算法的性能(This program gives a simple particle filter programming, through a simple example to analyze the particle filter algorithm with the performance of EKF)

本书以有限单元基本理论为重点，以MATLAB程序为平台，以工程实例为背景，介绍 了有限元法及其程序设计方法。 本书讲述结构分析中有限元法的基本原理，单元类型包括平面杆系，空间杆系，平面等 参元，空间等参元，薄板壳单元和厚板壳单元等。内容涉及杆系结构、平面问题、空间问题和板壳问题。以结构线弹性静力分析为主，同时也讲述了结构的振动、稳定和动力响应分析。(This book is the basic theory of finite elements as the key to the MATLAB program as a platform to project examples as the background, the finite element method and its programming. This book describes the structural analysis of the basic principles of the finite element method, cell types including flat bar, space bar, flat isoparametric element, space isoparametric element, sheet shell and thick shell element and so on. Covering the truss structure, flat issues, space issues and shell problems. Structural linear elastic static analysis-based, but also about the structural vibration, stability and dynamic response analysis.)

文章，关于四旋翼飞行器建模、控制与仿真。(Articles about four rotor aircraft modeling, control, and simulation.)

UED数字图像隐写算法，自适应隐写算法代码(UED digital image steganography algorithm, adaptive steganography algorithm code)

Voronoi使用Matlab编程，解决选址、最小路径最大覆盖等问题(Voronoi uses Matlab programming to solve the problem of location, minimum path maximum coverage and so on)

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

遥感技术与遥感数字图像分析处理方法；遥感技术与遥感数字图像分析处理方法(Remote sensing technology and remote sensing digital image analysis and processing methods)

压缩感知 重构算法 迂回式匹配追踪 论文 附带 matlab代码(Compressed sensing reconstruction algorithm matlab code circuitous track comes with matching paper)

PHOTOVOLTAIC MODELISATION WITH SIMULINK

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)