kalman
- 网络卡尔曼；卡尔曼滤波；滤波与卡尔曼
kalmankalman
卡尔曼
进了卡尔曼(KALMAN)滤波法中仅能考虑输入与输出的线性关系的不足,建立了输入与输出之间的多参数、非线性的映射关系。
卡尔曼滤波
07卡尔曼滤波(Kalman)Matlab工具箱 使用说明书08java服务器所需的绿色tomcat6 09大学四级全部词汇带国际音标 10信息安全 …
滤波与卡尔曼
维纳(Wiener)滤波与卡尔曼(Kalman)滤波就是用来解决这样一类从噪声中提取信号问题的一种过滤(或滤波)方法。不知是否有同 …
卡尔曼先生用英文作序
* 为增加本书权威性,请卡尔曼先生用英文作序 (KALMAN) ** ** 这事包在捕快身上.捕快认识卡尔曼的孙子B.KALMAN.反正 ** 没 …
滤波器
中国人工智能学会 CAAI ... CT 图像 Kalman 滤波器 Raiffa 解 ...
1
An approach is proposed that this deviation can be obtained by using the weld pool image centroid and a Kalman filter.
为此提出一种利用熔池图像质心和卡尔曼滤波来间接获取电弧与焊缝偏差的方法。
2
By integrating factor analysis (FA) with Kalman filter (KF), a novel algorithm used for computational spectral analysis is proposed.
通过将因子分析与卡尔曼滤波法集成，提出一种多元光度分析新算法。
3
Kalman filter(KF), based on the least square(LS), is a recursive algorithm used for the estimation of linear parameters.
卡尔曼滤波（KF）是一种基于最小二乘法原理的线性估计递归（推）算法。
4
Simulation results indicate that this novel adaptive Kalman filter gives better accuracy than the standard one does.
仿真结果证明这种方法比标准卡尔曼滤波具有更高的精度。
5
Signal time delay is converted to underwater distance, and noise is filtered out with Kalman filter.
将声波传输时延转换为水下目标的距离，用卡尔曼滤波的方法对数据中的噪声进行滤波。
6
The application of the system to vehicle navigation position system proves that the new adaptive Kalman filtering algorithm is feasible.
在实际研究过程中将其应用于车辆的导航定位系统，获得了显著的效果。结果验证了自适应卡尔曼滤波方法的可行性。
7
However, the environment is so complex that we have to do research on adaptive Kalman filter to adapt to the change of environment.
然而，载车的实际行驶环境是复杂多变的，因而有必要研究自适应滤波以提高组合导航系统的适应性。
8
Firstly, the fusion estimation algorithm is compared with that directly performing Kalman filter at the finest scale.
首先，将该融合估计算法和在最细尺度上直接进行卡尔曼滤波的算法性能进行了比较，并用仿真进行了验证。
9
the Kalman filtering with observational white noises is the special case of Kalman filtering with observational colored noises.
或者说有色噪声的卡尔曼滤波是白噪声卡尔曼滤波的推广。
10
Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter.
最初估计和观测可获取性对对流尺度集合Kalman滤波数据同化的作用。
11
To address the problem, scholars have put forward a time-series analysis and Kalman filter hybrid algorithm combining.
为解决该问题，本文首先使用时间序列分析和卡尔曼滤波相结合的混合算法。
12
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
介绍和分析了最小二乘和卡尔曼滤波方法在时间预报中的应用。
13
Further more, combining Kalman filter prediction and linear interpolation, some missing balls can be made up.
此外，结合卡尔曼滤波器预测和线性插值，补充视频中漏检的球的位置。
14
The Kalman filter is used to fuse noisy sensor data. The experimental results demonstrate the availability and effectiveness of this method.
利用卡尔曼滤波对测量值进行噪声处理，物理实验数据的结果验证了本文方法的有效性。
15
The adaptive Kalman filter with fading factor was used to construct the permanent magnet synchronous motor(PMSM) speed observer.
使用带渐消因子的自适应卡尔曼滤波构造了永磁同步电机的速度观测器。
16
It indicates that Kalman filter has potential for estimating state of charge of batteries in electric vehicles.
实验表明，卡尔曼滤波在电动汽车电池组荷电状态估计方面具有应用潜力。
17
The main algorithm of positioning and fusion of multi-sensor, which employs developed adaptive Kalman filter, are described.
文章给出了消防机器人导航的主要算法流程，以及利用改进自适应卡尔曼滤波器实现多传感器信息融合。
18
Simulation and comparison results show with the robust Kalman filter are given. The results the effectiveness of the method.
仿真时与鲁棒卡尔曼滤波方法进行比较，结果表明了该方法的有效性。
19
Furthermore, the target moving fast and entire occlusions are resolved through combining the optimal algorithm with the Kalman forecast.
通过将优化算法与卡尔曼轨迹预测相结合，解决了目标运动速度过快和全部遮挡问题。
20
The approach consists of two parts: the Kalman filter without input item and an estimator.
此反向估测法包括两部份：无输入项卡尔曼滤波器及输入估测器。
21
When the Kalman filtering is applied to logging data processing, filtering parameters are different from the conventional ones.
卡尔曼滤波应用于测井数据处理，其参数具有特殊性，对如何确定某些参数进行了讨论。
22
This algorithm combining wavelet de-noising with Kalman filtering algorithm could eliminate outliers more effectively.
此算法将小波去噪与卡尔曼滤波算法结合起来，能够更有效地剔除野值。
23
With the known nodal displacements and force boundaries, modulus was calculated using inverse mesh free technique and Kalman filter.
在已知节点位移和力边界的情况下，利用逆向无网格方法结合卡尔曼滤波，计算出组织的杨氏模量。
24
For overcoming the shortcoming of extended Kalman filter, the paper applies unscented Kalman filter on bearing-only target tracking problem.
为克服扩展卡尔曼滤波算法的缺陷，将UKF算法应用于纯方位目标跟踪问题中。
25
Then based on the current statistical model of Kalman filter, an optimal fusion estimation algorithm was proposed for the system.
同时以基于当前统计模型的卡尔曼滤波算法为基础，针对该系统提出了一种最优数据融合估计算法。
26
A hybrid network traffic prediction algorithm, is provided, in which Kalman filter (KF) and wavelet are combined.
针对网络流量的特点，提出了一种基于卡尔曼滤波和小波分析混合的流量预测算法。
27
Finally, by combining the proposed MS positioning method with Kalman filtering, we propose a scheme to track the movement of the MS.
最后，将该行动定位方法与卡尔曼滤波器相结合，一个追踪手机行止的方案就此成型。
28
The outliers contained in the DVL output data might cause the divergence of the Kalman filter of the integrated navigation system.
多普勒计程仪输出数据中有局外数据，可能会导致组合导航系统中的卡尔曼滤波器发散。
29
Second, We will improve the precision and reliability of the system with the extended Kalman filter.
其次，基于状态方程，进行了扩展卡尔曼滤波，提高了系统的精度与可靠性。
30
The performances of the extended kalman filter(EKF) and the unscented kalman filter(UKF)in constant velocity( CV ) model are compared.
比较了跟踪系统中扩展卡尔曼滤波、无迹滤波在二阶常速（CV）统计模型下实现的性能。