kalman
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例句
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
An extended kalman filter adaptive algorithm is presented in combination with the extended kalman filter and the current statistical model.
另外将经典的推广卡尔曼滤波与当前统计模型相结合，推导了推广卡尔曼滤波自适应跟踪算法；
This system takes the Kalman filter as core algorithm to fuse data so that the positioning accuracy and system reliability can be improved.
采用了卡尔曼滤波为核心算法的数据融合，来提高组合导航系统的定位精度和可靠性。
Kalman filter and particle filter is a typical representative of the probability tracking methods.
概率跟踪卡尔曼滤波和粒子滤波是这类方法的典型代表。
A kalman filter arithmetic for the vehicle GPS is achieved, which aims at the characteristic of vehicle GPS position.
针对车载GPS定位的特点，实现了一种车载GPS卡尔曼滤波算法。
Then the thesis compared unscented kalman filter and extended kalman filter, and selected the former for inverted pendulum system.
比较了扩展卡尔曼滤波和无迹卡尔曼滤波，选定无迹卡尔曼滤波为倒立摆控制系统的滤波算法。
Further more, an improved Kalman Filter is introduced in case that the vehicle is in motion.
并提出了在载体机动时，使用一种改进的卡尔曼滤波算法。
On spacial data processing, Kalman filter can be used validly for post processing in underwater acoustic positioning systems.
在空间数据处理方面，卡尔曼滤波应用于水声定位系统的后置处理是很有效的。
Through the scalar Kalman filter algorithm, the pressure signal is predicted and the innovation value of pressure signal is obtained.
首先通过标量卡尔曼滤波算法对压力信号进行预测，得出压力信号的新息；
At last the normal Kalman filtering algorithm model was given and the deducing process of this algorithm was described in detail.
最后，给出了标准的卡尔曼滤波算法模型并详细描述了算法的推导过程。
for dynamic data, Kalman filter is used to get a relative smooth trajectory of the responders.
对动态定位数据采用卡尔曼滤波方式进行处理，以获得应答器平滑的运动轨迹。
