Description: 卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法，如卡尔曼滤波，扩展卡尔曼滤波，粒子滤波等在姿态确定上的应用，并比较了它们仿真的结果-Satellite attitude determination and sensor error correction filtering algorithms. Introduced several different filtering algorithms, such as Kalman filtering, extended Kalman filter, particle filter, such as in the attitude determination applications, and compare their simulation results Platform: |
Size: 6289408 |
Author:yueyang |
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Description: 目标跟踪中的粒子滤波器进行了100次Monte carlo 仿真（输出航迹图和误差曲线）-Target tracking in a particle filter 100 Monte carlo simulation (output track map and the error curve) Platform: |
Size: 2048 |
Author:fuxiao |
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Description: 粒子滤波中粒子数与误差关系，plot the relation between the particle number and error-Particle filter in the relationship between particle number and error, plot the relation between the particle number and error Platform: |
Size: 1024 |
Author:jiangshuiya |
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Description: 基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能
达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decision rules of the number of adaptive sampling particle filter algorithm, in defining the basis for comprehensive performance risk function derived particle number and the filtering error variance of the relationship between the type, makes the tracking process, it can be depending on the target-line adjustment of the motor case particle number in order to achieve optimal tracking performance. In the Matlab simulation platform, carried out the flicker noise under the maneuvering target tracking experiment results show that the number of particle filter algorithm for adaptive sampling is an effective method of maneuvering target tracking, tracking performance than the elementary particle filter algorithm increases 3.17-fold. Platform: |
Size: 289792 |
Author:胡瑾秋 |
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Description: 扩展卡尔曼与粒子滤波结合的程序,用扩展卡尔曼作为提议分布，然后利用粒子滤波进行滤波跟踪，效果比常用的粒子滤波要好！均方根误差也比较小。-Extended Kalman particle filter in conjunction with a program, as proposed by the extended Kalman distribution and particle filter for filtering track, the effect is better than the commonly used particle filter! RMS error is relatively small. Platform: |
Size: 1024 |
Author:刘龙 |
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Description: 一种流形学习算法（很好用），旋转机械二维全息谱计算，多目标跟踪的粒子滤波器，采用加权网络中节点强度和权重都是幂率分布的模型，最小均方误差（MMSE）的算法，基于分段非线性权重值的Pso算法。-A fluid manifold learning algorithm (good use), Rotating machinery 2-d holographic spectrum calculation, Multi-target tracking particle filter, Using weighted model nodes in the network strength and weight are power law distribution, Minimum mean square error (MMSE) algorithm, Based on piecewise nonlinear weight value Pso algorithm. Platform: |
Size: 7168 |
Author:qvefgk |
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Description: 通过matlab代码，使用大量的有限元法求解偏微分方程，加入重复控制，最小均方误差（MMSE）的算法，非归零型差分相位调制信号建模与仿真分析 ，主同步信号PSS在时域上的相关仿真，多目标跟踪的粒子滤波器。-By matlab code, Using a large number of finite element method to solve partial differential equations, Join repetitive control, Minimum mean square error (MMSE) algorithm, NRZ type differential phase modulation signal modeling and simulation analysis, PSS primary synchronization signal in the time domain simulation related, Multi-target tracking particle filter. Platform: |
Size: 8192 |
Author:vybcgfph |
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Description: 多目标跟踪的粒子滤波器，分析了该信号的时域、频域、倒谱，循环谱等,对HARQ系统的吞吐量分析，现代信号处理中谱估计在matlab中的使用，预报误差法参数辨识-松弛的思想，数据包传送源码程序，用MATLAB实现的压缩传感。- Multi-target tracking particle filter, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. HARQ throughput analysis of the system, Modern signal processing used in the spectral estimation in matlab, Prediction Error Method for Parameter Identification- the idea of relaxation, Data packet transfer source program, Using MATLAB compressed sensing. Platform: |
Size: 5120 |
Author:nsqipjzmw |
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Description: 最小均方误差（MMSE）的算法，包括脚本文件和函数文件形式，多目标跟踪的粒子滤波器。- Minimum mean square error (MMSE) algorithm, Including script files and function files in the form, Multi-target tracking particle filter. Platform: |
Size: 12288 |
Author:sun |
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Description: 多目标跟踪的粒子滤波器，采用加权网络中节点强度和权重都是幂率分布的模型，最小均方误差（MMSE）的算法。- Multi-target tracking particle filter, Using weighted model nodes in the network strength and weight are power law distribution, Minimum mean square error (MMSE) algorithm. Platform: |
Size: 5120 |
Author:赵新浑 |
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Description: 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles through a K-means
clustering approximation as well as vehicle tracking correspon-
dence between frames by correlating Kalman and particle filter
prediction updates to current observations through the solution
of the assignment problem. In addition, we conduct performance
and accuracy benchmarks that show about a 90 percent reduc-
tion in runtime at the expense of reducing the robustness of
the mixture model classification and about a 30 percent and 45
percent reduction in accumulated error of the Kalman filter and
particle filter respectively as compared to a system without any
prediction.) Platform: |
Size: 6215680 |
Author:O(∩_∩)O哈哈噢
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Search - error in particle filter