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粒子滤波 particle filter英语短句 例句大全

时间:2020-11-06 07:27:56

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粒子滤波 particle filter英语短句 例句大全

粒子滤波,particle filter

1)particle filter粒子滤波

1.Dynamic contour tracking of medical images based on improvedparticle filter;基于增强的粒子滤波算法的医学图像动态轮廓跟踪新方法

2.Application of Gaussian mixtureparticle filter in initial alignment for strapdown inertial navigation system on stationary base;高斯混合粒子滤波器在静基座捷联惯导系统初始对准中的应用

3.Performance analysis and improvement ofparticle filter algorithm;粒子滤波算法的性能分析与改进

英文短句/例句

1.Target tracking using distributed Unscented particle filter in sensor network分布式Unscented粒子滤波跟踪

2.Research on MCMC particle filter algorithm based on effective particles有效粒子数MCMC粒子滤波算法研究

3.Research of Comparative Analysis of Extended kalman Filter and Particle Filter扩展卡尔曼滤波和粒子滤波算法性能比较研究

4.Improved particle filtering algorithm based on 2-order interpolation filtering基于二阶插值滤波的粒子滤波改进算法研究

5.Gaussian Particle Filter in Integrated Navigation System with a Direct Filter Model组合导航直接滤波模型中的高斯粒子滤波

6.The Research on Particle Filter and Unscented Particle Filter Algorithms Applied in CDMA Multiuser Detection;粒子滤波及U-粒子滤波在CDMA多用户检测中的应用研究

7.Particle swarm optimized extended kalman particle filter algorithm一种粒子群优化扩展卡尔曼粒子滤波算法

8.A Study of Hybrid Estimation Theory & Applications Based on Particle Filtering;基于粒子滤波的混合估计理论与应用

9.Particle Filter Based on Structural System Identification;基于粒子滤波器的结构系统识别研究

10.Research of Particle Filter Algorithm Based on FPGA Implementation;基于FPGA实现的粒子滤波算法研究

11.Research on Mouse Tracking Based on Particle Filtering;基于粒子滤波器的鼠类目标跟踪研究

12.Application of Particle Filtering to Multiple Target Tracking;基于粒子滤波的多目标跟踪算法研究

13.Research on Methods for Speech Enhancement Based on Particle Filter;基于粒子滤波器的语音增强方法研究

14.Particle Filtering Based Estimation for MIMO Time-varying Channel基于粒子滤波的MIMO时变信道估计

15.Research on Track-before-Detect Algorithm Based on Particle Filters基于粒子滤波的检测前跟踪算法研究

16.Target tracking by Particle Filtering in Sensor Networks基于粒子滤波的传感器目标跟踪算法

17.The Detection of Hologram Based on Particle Filtering基于粒子滤波的全息检测技术的研究

18.An Improved Object Tracking Algorithm Based on Particle Filter and Mean Shift基于粒子滤波/Mean Shift的改进跟踪算法

相关短句/例句

Particle filtering粒子滤波

1.Amplitude information based particle filtering for passive tracking of maneuvering target;结合幅度信息的粒子滤波机动目标被动跟踪

2.Algorithm and Simulation of the Particle Filtering Based on Terrain-Aided Navigation for the Intermediate Guidance of Cruise Missile;基于粒子滤波的巡航导弹中制导地形匹配算法和仿真

3.AdaBoost tracker embedded in particle filtering;嵌入粒子滤波中的AdaBoost跟踪器

3)particle filters粒子滤波

1.Improvedparticle filters for MIMO demodulation;MIMO系统中改进的粒子滤波解调算法

2.The performance ofparticle filters in robot localization is improved through the use of a robust adaptive particle filter.为了提高粒子滤波算法在机器人定位中的性能,在基本粒子滤波算法的基础上,引入概率回退的方法对机器人的初始状态进行估计,采用窗口滤波更新粒子集合,根据对机器人位置估计的情况动态更新粒子集合的大小,得到一种改进的粒子滤波算法——稳健的自适应粒子滤波算法。

3.Resampling is a critically operation to solve degeneracy problem withparticle filters.重采样是解决粒子滤波退化问题的主要方法。

4)Particle Filter(PF)粒子滤波

1.posterior probability density(PDF) function,while Particle Filter(PF) uses random particles.粒子滤波(PF)用随机样本来近似状态的后验概率密度,适用于任何非线性非高斯环境,但有时选择的重性分布函数与真实后验有较大差异,从而导致滤波结果存在较大误差,而Unscented粒子滤波(UPF)正好克服了这一不足,它先通过UKF产生重要性分布,再运用PF算法。

2.,Extended Kalman Filter(EKF),Unscented Kalman Filter(UKF),and Particle Filter(PF),are studied here.通过分析3种常用的非线性滤波器:扩展卡尔曼滤波器、Unscented卡尔曼滤波器以及粒子滤波器的原理,确定其适用性。

3.Aiming at the singleness of implementing the regularized filter in interacting multiple model algorithm, an improved algorithm is proposed, in which Kalman Filter(KF) is used to match the linear part of the system and Particle Filter(PF) is used to match the non-linear part of the system, the degree of occlusion is determined according to the match extent.利用卡尔曼滤波匹配系统线性部分,粒子滤波匹配非线性部分,根据匹配深度判断目标遮挡程度,当目标被严重遮挡时,采用迭代的多级粒子滤波方法进行重采样,并结合卡尔曼滤波更新模型概率。

5)particle filter粒子滤波器

1.Non-rigid target tracking based on genetic algorithm andparticle filter;基于遗传算法和粒子滤波器的非刚性目标跟踪

2.Indoor mobile robot self-location based onparticle filter;基于粒子滤波器的室内移动机器人自定位

3.An improved unscentedparticle filter for target tracking in sensor networks;一种改进的无迹粒子滤波器在目标跟踪中的应用

6)Unscented particle filterUnscented粒子滤波

1.To solve the problem of low precision characters and non-Gaussian distribution noise of the micro-satellite attitude determination system,UPF(Unscented particle filter) was proposed.针对基于微小卫星姿态确定系统精度低和噪声存在非高斯分布的情况,研究了适用于该定姿系统的Unscented粒子滤波(UPF,Unscented Particle Filter)算法。

2.Unscented particle filter is applied to estimate the parameters of AR model and filter color noises.针对含有色噪声的语音,提出了一种基于Unscented粒子滤波的单通道语音增强方法。

延伸阅读

初级粒子和原级粒子分子式:CAS号:性质:又称初级粒子和原级粒子。利用各种化学反应方法得到的最初粒子(晶粒)。一次粒子的大小约为0.005~1μm,比筛分的极限小得多,在介质中有相当高的稳定性。

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