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wave
- 将均值偏移算法嵌入到粒子滤波的跟踪框架中.该算法克服了粒子滤波计算量较大的缺点,同时也克服了均值偏移算法容易陷入局部最大且无法恢复的缺点.实验表明该算法有很好的实时性和鲁棒性.-The mean shift algorithm is embedded into the particle filter tracking framework of the particle filter algorithm overcomes the shortcomings of large amount of c
liziquan
- 关于粒子群算法的综述，对粒子群算法感兴趣的请看-About PSO overview of PSO interesting look
dace2
- 粒子群优化的kriging近似建模程序包DACE-PSO，matlab程序，比传统的dace程序包优势是：不用确定Sigma参数-Kriging particle swarm optimization modeling package DACE-PSO, matlab program, compared with the traditional dace package advantage is: do not determine the Sigma parameters
pso--constrained
- 这个粒子群算法使用matlab语言编写出来的，可以解决带约束的粒子群算法问题，可以很方便的把问题得到解决-the optimization of constraied pso matlab programmes
filter
- 有关粒子滤波及其改进算法的资料，对初学粒子滤波算法的人很有帮助-Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm
Chaos-particle-algorithm
- 针对粒子群优化算法稳定性较差和易陷入局部极值的缺点，论文提出了一种新颖的混沌粒子群优化算法。-Particle swarm optimization for the poor stability and ease of getting into local extremum shortcomings, the paper proposes a novel chaotic particle swarm optimization algorithm.
improved-particle-bionics
- 针对标准粒子群算法收敛速度慢和易陷入局部最优的局限性，提出了一种基于仿生学改进的粒子群算法。-For standard PSO slow convergence and local optimum limitations proposed based on improved particle swarm optimization bionics.
particle-filtering-tracking
- 基于粒子滤波和自适应模型的目标跟踪算法,可以有效提高粒子滤波的准确性和稳定性.-Adaptive model based on particle filtering and target tracking algorithm can effectively improve the accuracy and stability of the particle filter.
Particle-Filter-Review
- 以最优Bayesian滤波的求解为起点 ,综述了粒子滤波的发展历程、基本思想、算法的各个基本环节、基本的滤波算法及其收敛性以及算法的多种重要衍变形式 。-Solving an optimal Bayesian filtering as a starting point, an overview of the development process of particle filter, the basic idea of all the basic aspects o
Particle-Algorithm-Status-Trend
- 介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。-Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.
Particle-filter-wireless
- 本文对粒子滤波算法的基本原理及其在无线通信中的应用进行综述,重点介绍其中的几种典型应用。-In this paper, the basic principles of particle filter algorithm and its application in wireless communications are reviewed, focusing on a few of the typical application.
liziquansuanfa
- 粒子群算法的简介，实例运用和理解。粒子群算法的简介，实例运用和理解- the relation and descr iption of PSO
OFDM
- 一种新的基于粒子滤波的OFDM时变信道估计方法-A new particle filter based OFDM time-varying channel estimation method
The-Multi-user-Detection-paper
- 提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
Visual-saliency--tracking
- 针对突变运动下的目标跟踪问题，提出一种基于视觉显著性的粒子滤波跟踪算法． 该算 法将基于视觉注意机制的视觉显著图引入粒子滤波框架中，根据视觉显著图的显著性区域，按 胜者为王和返回抑制机制进行目标检测-Aimingat solvingthetrackingproblemsunder thecircumstancesof abrupt motion，aparticlefilter trackerisproposedbasedonvisual saliencymodel． Thistracke
pf
- 粒子滤波的资料，非常有用，是不可多得的材料，总结的很全面，是大学的ppt-Particle filter information, very useful, is a rare material, very comprehensive summary is University ppt
Comprehensive-Application-
- 粒子群算法在阵列天线方向图综合中的应用-Comprehensive Application of particle swarm algorithm diagram array antenna
global-optimization
- 一种基于粒子群优化算法和差分进化算法的新型混合全局优化算法-A new hybrid global optimization algorithm PSO and differential evolution algorithm
sph算法介绍
- cfd中光滑粒子流体动力学数值模拟方法的论文 有一定参考价值
The-new-meta-heuristic-algorithm-bat
- 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声搜索算法已经成为现今复杂的优化问题的有效解决方法。该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法———蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。仿真结 果表明,蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。-Summary: The new meta-heuristic algor