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基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真-based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB
Date : 2008-10-13 Size : 34.36kb User : husheng

基于粒子系统模拟飘扬的旗帜-particle system simulation based on the fluttering banner
Date : 2008-10-13 Size : 52.49kb User : 决云

基于粒子系统模拟飘扬的旗帜-particle system simulation based on the fluttering banner
Date : 2025-07-02 Size : 52kb User : 决云

布料模拟的程序,参考较多近期论文,实现的模型基于弹簧——质点模型,实现效果不错-cloth simulation procedures, more recent reference papers, the model based on spring-- particle model, achieving good results
Date : 2025-07-02 Size : 794kb User : 邬源

基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真-based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB
Date : 2025-07-02 Size : 34kb User : husheng

本程序主要介绍基于OpenGL的屏幕保护编程技术(粒子系统的模拟生成过程)-this program introduces OpenGL-based screen programming (particle generation system simulation process)
Date : 2025-07-02 Size : 344kb User : Quard

本程序是基于粒子的喷泉模拟,非常漂亮逼真-this program is based on the fountain particle simulation, very pretty realistic
Date : 2025-07-02 Size : 222kb User : andy

The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo. -The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar-xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
Date : 2025-07-02 Size : 198kb User : 晨间

Sequential Monte Carlo without Likelihoods 粒子滤波不用似然函数的情况下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.-Sequential Monte Carlo without Likelihoods Particle Filtering likelihood function do not have the circumstances of this article Abstract: Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributionsin the presence of analytically or computationally intractable likelihood functions.Despite representing a substantial methodological advance, existing methods based on rejectionsampling or Markov chain Monte Carlo can be highly inefficient, and accordinglyrequire far more iterations than may be practical to implement. Here we propose a sequentialMonte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrateits implementation through an epidemiological study of the transmission rate of tuberculosis .
Date : 2025-07-02 Size : 177kb User : 阳关

基于卡尔曼滤波和粒子滤波器级联模型的静基座惯导初始对准算法及仿真-Based on the Kalman filter and particle filter cascade model static base INS initial alignment algorithm and simulation
Date : 2025-07-02 Size : 212kb User : 陳翔

先按一定要求生成两幅粒子图像,然后基于相关检测的方法测出粒子的运动速度,仿真的是简单情况 ,即水平运动的情况。属于基础学习用的。-Press must be to generate two particle image, and then based on correlation detection method to measure particle velocity, simulation of a simple situation, that is the case of horizontal movement. Based learning are used.
Date : 2025-07-02 Size : 4kb User : 何文奇

DL : 0
微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似,是一种基于叠代的优化工具,但与遗传算法使用遗传操作子进行优化不同,利用群体中各个体之间的“协作”与“竞争”关系,根据自身及其竞争者的飞行经验,调整自己的行为。同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域。-Particle Swarm Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications.
Date : 2025-07-02 Size : 863kb User : wzy

本程序是基于机动目标跟踪课题的整个算法程序,其中包括卡尔曼,扩展卡尔曼和粒子滤波程序及其仿真代码和仿真的图形。-This procedure is based on the subject of maneuvering target tracking algorithm for the whole procedure, including Kalman, extended Kalman and particle filter process and its simulation code and simulation graphics.
Date : 2025-07-02 Size : 122kb User : liujun

Real-Time Particle-Based Fluid Simulation Rendering realistic moving water is one of the key techniques that immerse the viewers into interactive graphics world including computer games. Physical simulations based on computational fluid dynamics (CFD) is useful for rendering the realistic behaviour of water. However, real-time fluid rendering has been one of the challenging tasks because of high computational cost of CFD. This research shows the fast implementation of the simulation based on Smoothed Particle Hydrodynamics.
Date : 2025-07-02 Size : 1.64mb User : mike

Rendering realistic moving water is one of the key techniques that immerse the viewers into interactive graphics world including computer games. Physical simulations based on computational fluid dynamics (CFD) is useful for rendering the realistic behaviour of water. However, real-time fluid rendering has been one of the challenging tasks because of high computational cost of CFD. This research shows the fast implementation of the simulation based on Smoothed Particle Hydrodynamics.
Date : 2025-07-02 Size : 1.59mb User : mike

基于PhysX的流体模拟 PhysX开发包中自带有流体模拟的部分,在它的示例中我们可以找到相关的例子,而且这流体还是基于SPH的,但是我们会发现它的例子只实现了流体的粒子模拟,而由粒子转换成网格的部份,则要我们自已来实现了-PhysX fluid simulation-based development package comes with PhysX fluid simulation are part of the sample in it, we can find examples, and this fluid is based on SPH, but we will find examples of it only achieved a fluid particle simulation, and by the particle into the part of the grid will have to be our own to achieve the
Date : 2025-07-02 Size : 1.59mb User : 潮流

粒子群优化算法 电子书 带变异算子的粒子群优化算法.KDH 改进的多目标粒子群算法.caj 改进的基本粒子群优化算法.kdh 基于粒子群算法的多目标函数优化问题研究.NH 粒子群算法及其在布局优化中的应用.KDH 粒子群优化算法的惯性权值递减策略研究.caj 粒子群优化算法在多目标优化中的应用与仿真.KDH 粒子群优化算法综述.CAJ 微粒群优化算法及其改进形式综述.KDH 一种新的改进粒子群算法研究.KDH-Particle Swarm Optimization with Mutation Operator e-book particle swarm optimization algorithm. KDH improved multi-objective particle swarm optimization algorithm. Caj improved elementary particle swarm optimization algorithm. Kdh particle swarm optimization algorithm based on multi-objective function optimization studies. NH Particle Swarm Optimization layout optimization algorithm and its application. KDH Particle Swarm Optimization Algorithm Decreasing Inertia Weight Strategy Study. caj particle swarm optimization in multi-objective optimization and simulation. KDH Particle Swarm Optimization Algorithm. CAJ particle swarm optimization algorithm and to improve the form of synthesis. KDH a new improved particle swarm algorithm. KDH
Date : 2025-07-02 Size : 3.37mb User : 姚思

基于粒子系统的虚拟喷泉的仿真与实现的论文-Based on Particle System Simulation and Realization of a virtual fountain of papers
Date : 2025-07-02 Size : 3.97mb User : 华夏

sph fluid:The base program renders particle systems using JOGL (Java ... JOGL: A Beginner s Guide and Tutorial ... By default, the simulation will perform several time steps per frame. .... More interesting scenes: Dropping water in a box is only so much fun. ... [Slides, Notes] [SPH pages
Date : 2025-07-02 Size : 11.39mb User : mouna

一个基于Itasca 颗粒流软件PFC2D模拟圆形隧道塌落拱fish命令-A Itasca based on particle flow simulation software PFC2D circular tunnel arch collapse fish command
Date : 2025-07-02 Size : 1kb User : 巩林贤
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