Description: 采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,有较好的参考价值，给出接收信号眼图及系统仿真误码率，粒子图像分割及匹配均为自行编制的子例程，基于SVPWM的三电平逆变的matlab仿真。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. There are good reference value, The received signal is given eye and BER simulation systems, Particle image segmentation and matching subroutines themselves are prepared, Based on SVPWM three-level inverter matlab simulation. Platform: |
Size: 9216 |
Author:qaypfecsi |
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Description: 与理论分析结果相比，这个有中文注释，看得明白，本程序的性能已经超过其他算法，多目标跟踪的粒子滤波器，双向PCS控制仿真，自己编的5种调制信号，使用大量的有限元法求解偏微分方程，基于负熵最大的独立分量分析。- Compared with the results of theoretical analysis, The Chinese have a comment, understand it, This program has exceeded the performance of other algorithms, Multi-target tracking particle filter, Two-way PCS control simulation, Own five modulation signal, Using a large number of finite element method to solve partial differential equations, Based on negative entropy largest independent component analysis. Platform: |
Size: 5120 |
Author:kwuzyfzz |
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Description: 解耦，恢复原信号，包括面积、周长、矩形度、伸长度，粒子图像分割及匹配均为自行编制的子例程，主要是基于mtlab的程序，MIMO OFDM matlab仿真,是学习PCA特征提取的很好的学习资料，有均匀线阵的CRB曲线。- Decoupling, restore the original signal, Including the area, perimeter, rectangular, elongation, Particle image segmentation and matching subroutines themselves are prepared, Mainly based on the mtlab procedures, MIMO OFDM matlab simulation, Is a good learning materials to learn PCA feature extraction, There ULA CRB curve. Platform: |
Size: 4096 |
Author:vmhztzf |
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Description: 主要研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。选择控制系统的目标函数，本控制系统选用时间乘以误差的绝对值，通过对控制系统的逐步仿真,对结果进行分析-The main research based on particle swarm optimization algorithm control system PID parameter optimization design method and the improvement of PID control. Choose the objective function of the control system, this control system uses the absolute value of the error, and the result is analyzed by the simulation of the control system.
Platform: |
Size: 144384 |
Author:邹宜然 |
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Description: 根据混合粒子群算法原理，在MATLAB中编程实现基于粒子群算法的TSP搜索算法，给出了适应度函数，粒子初始化，交叉操作，变异操作，最后给出了仿真结果。有图可以看出，混合粒子群算法能够较快找到连接各个城市的最优路径，谢谢，希望能够给大家带来帮助。-According to the principle of hybrid particle swarm algorithm, programmed in MATLAB Based on Particle Swarm TSP search algorithm given fitness function, particle initialization, crossover and mutation operation. Finally, the simulation results. There can be seen, hybrid particle swarm algorithm can quickly find the optimal path to connect each city, thank you, hope to be able to give us help. Platform: |
Size: 12288 |
Author:wangxin |
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Description: 粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性的环境有着较强的鲁棒性（对特性或参数扰动的不敏感性）。本文将粒子滤波运用于视频跟踪，与传统卡尔曼滤波器进行对比实验，通过实验结果进一步说明粒子滤波对卡尔曼滤波的优势，因此可以广泛的替代传统卡尔曼滤波器，应用于各个跟踪系统中。-Because in non-linear non-Gaussian environment the performance of traditional Kalman Filter in tracking of moving targets is very poor, the paper uses particle filter to track the moving target. Particle filter does not involve linearization around current estimates but rather represent the desired distributions by discrete random measures, which are composed of weighted particles. It has a high accuracy and a rapid convergence. The theory of target tracking based on particle filter is to use these weighted particles to estimate the states of targets. The simulation results of the target model show that in the non-linear non-Gaussian environment, the performance of the particle filter is better than extended Kalman Filter. Finally, we use the particle filter in video tracking, the experimental results further show that in the non-linear non-Gaussian environment the particle filter has a better tracking performance. Particle filter technology can be widely used for air to air, air-groun Platform: |
Size: 3072 |
Author:黎明 |
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Description: 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized
by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method. Platform: |
Size: 289792 |
Author:kiel |
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Description: 格子Boltzmann方法（Lattice Boltzmann Method, LBM）是近年来得到迅速发展并具有广阔应用前景的数值模拟方法。与基于连续介质假设的传统流体力学计算方法不同，LBM是从介观层次的流体粒子出发，基于动理学模型，假设这些流体粒子按规定的格线方向进行迁移碰撞相互作用，经过演化计算后得出符合物理规律的数值结果。与其它传统数值方法相比，LBM在复杂边界及几何条件、多相流模拟等方面具有明显的优势。并且LBM具有算法简单，容易编程实现的特点，非常适用于大规模并行计算。-Lattice Boltzmann Method (Lattice Boltzmann Method, LBM) has developed rapidly in recent years and has broad application prospects of numerical simulation methods. Unlike traditional CFD methods based on continuum hypothesis, LBM mesoscopic fluid particle starting kinetic model, assuming that fluid particles according to a predetermined orientation of the grid migrate collision interaction, calculated after evolution the numerical results are in line with the laws of physics. Compared with other traditional numerical methods, LBM has obvious advantages in a complex geometry and boundary conditions, multiphase flow simulation and so on. LBM has a simple algorithm and easy programming features, ideal for massively parallel computing. Platform: |
Size: 1024 |
Author:fyh |
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Description: 小型四旋翼的智能控制。使用基于粒子群的PID控制、基于遗传算法的PID控制，以及BP神经网络控制-小型四旋翼的智能控制。使用基于粒子群的PID控制、基于遗传算法的PID控制，以及BP神经网络控制。Simulation of Intelligent Control for Quadrotor， which based on particle swarm optimization PID control, genetic algorithhm PID control and BP neural network PID control. Platform: |
Size: 11653120 |
Author:CMC |
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Description: 仿真效果非常好，粒子图像分割及匹配均为自行编制的子例程，基于分段非线性权重值的Pso算法。- Simulation of the effect is very good, Particle image segmentation and matching subroutines themselves are prepared, Based on piecewise nonlinear weight value Pso algorithm. Platform: |
Size: 5120 |
Author:tingsaojie |
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Description: 粒子图像分割及匹配均为自行编制的子例程，基于SVPWM的三电平逆变的matlab仿真，STM32制作的MP3的全部资料。- Particle image segmentation and matching subroutines themselves are prepared, Based on SVPWM three-level inverter matlab simulation, STM32 all the information produced by the MP3. Platform: |
Size: 5120 |
Author:王勇峰 |
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Description: PIVlab - 时间分辨粒子图像测速（PIV）工具：
一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。
使用MATLAB网络研讨会进行人脸识别代码：
使用MATLAB在线讲座的人脸识别中的主要演示文件。
Gabor特征提取：
该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。
主成分分析：
用于特征提取；
链码：
基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool:
A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data.
Using MATLAB webinar for face recognition code:
The main demo file is used in MATLAB online lectures for face recognition.
Gabor feature extraction:
The program generates a custom Gabor filter bank and uses them to extract image features.
Principal component analysis:
For feature extraction;
Chain code:
Surface contour description of Freeman based on MATLAB) Platform: |
Size: 8155136 |
Author:long1219
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Search - Particle Based Simulation