kalman
美 
英
例句
An approach is proposed that this deviation can be obtained by using the weld pool image centroid and a Kalman filter.
為此提出一種利用熔池圖像質(zhì)心和卡爾曼濾波來間接獲取電弧與焊縫偏差的方法。
By integrating factor analysis (FA) with Kalman filter (KF), a novel algorithm used for computational spectral analysis is proposed.
通過將因子分析與卡爾曼濾波法集成，提出一種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.
卡爾曼濾波（KF）是一種基于最小二乘法原理的線性估計遞歸（推）算法。
Simulation results indicate that this novel adaptive Kalman filter gives better accuracy than the standard one does.
仿真結(jié)果證明這種方法比標準卡爾曼濾波具有更高的精度。
Signal time delay is converted to underwater distance, and noise is filtered out with Kalman filter.
將聲波傳輸時延轉(zhuǎn)換為水下目標的距離，用卡爾曼濾波的方法對數(shù)據(jù)中的噪聲進行濾波。
The application of the system to vehicle navigation position system proves that the new adaptive Kalman filtering algorithm is feasible.
在實際研究過程中將其應用于車輛的導航定位系統(tǒng)，獲得了顯著的效果。結(jié)果驗證了自適應卡爾曼濾波方法的可行性。
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，載車的實際行駛環(huán)境是復雜多變的，因而有必要研究自適應濾波以提高組合導航系統(tǒng)的適應性。
Firstly, the fusion estimation algorithm is compared with that directly performing Kalman filter at the finest scale.
首先，將該融合估計算法和在最細尺度上直接進行卡爾曼濾波的算法性能進行了比較，并用仿真進行了驗證。
the Kalman filtering with observational white noises is the special case of Kalman filtering with observational colored noises.
或者說有色噪聲的卡爾曼濾波是白噪聲卡爾曼濾波的推廣。
Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter.
最初估計和觀測可獲取性對對流尺度集合Kalman濾波數(shù)據(jù)同化的作用。
To address the problem, scholars have put forward a time-series analysis and Kalman filter hybrid algorithm combining.
為解決該問題，本文首先使用時間序列分析和卡爾曼濾波相結(jié)合的混合算法。
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
介紹和分析了最小二乘和卡爾曼濾波方法在時間預報中的應用。
Further more, combining Kalman filter prediction and linear interpolation, some missing balls can be made up.
此外，結(jié)合卡爾曼濾波器預測和線性插值，補充視頻中漏檢的球的位置。
The Kalman filter is used to fuse noisy sensor data. The experimental results demonstrate the availability and effectiveness of this method.
利用卡爾曼濾波對測量值進行噪聲處理，物理實驗數(shù)據(jù)的結(jié)果驗證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.
使用帶漸消因子的自適應卡爾曼濾波構(gòu)造了永磁同步電機的速度觀測器。
It indicates that Kalman filter has potential for estimating state of charge of batteries in electric vehicles.
實驗表明，卡爾曼濾波在電動汽車電池組荷電狀態(tài)估計方面具有應用潛力。
The main algorithm of positioning and fusion of multi-sensor, which employs developed adaptive Kalman filter, are described.
文章給出了消防機器人導航的主要算法流程，以及利用改進自適應卡爾曼濾波器實現(xiàn)多傳感器信息融合。
Simulation and comparison results show with the robust Kalman filter are given. The results the effectiveness of the method.
仿真時與魯棒卡爾曼濾波方法進行比較，結(jié)果表明了該方法的有效性。
Furthermore, the target moving fast and entire occlusions are resolved through combining the optimal algorithm with the Kalman forecast.
通過將優(yōu)化算法與卡爾曼軌跡預測相結(jié)合，解決了目標運動速度過快和全部遮擋問題。
The approach consists of two parts: the Kalman filter without input item and an estimator.
此反向估測法包括兩部份：無輸入項卡爾曼濾波器及輸入估測器。
When the Kalman filtering is applied to logging data processing, filtering parameters are different from the conventional ones.
卡爾曼濾波應用于測井數(shù)據(jù)處理，其參數(shù)具有特殊性，對如何確定某些參數(shù)進行了討論。
This algorithm combining wavelet de-noising with Kalman filtering algorithm could eliminate outliers more effectively.
此算法將小波去噪與卡爾曼濾波算法結(jié)合起來，能夠更有效地剔除野值。
With the known nodal displacements and force boundaries, modulus was calculated using inverse mesh free technique and Kalman filter.
在已知節(jié)點位移和力邊界的情況下，利用逆向無網(wǎng)格方法結(jié)合卡爾曼濾波，計算出組織的楊氏模量。
For overcoming the shortcoming of extended Kalman filter, the paper applies unscented Kalman filter on bearing-only target tracking problem.
為克服擴展卡爾曼濾波算法的缺陷，將UKF算法應用于純方位目標跟蹤問題中。
Then based on the current statistical model of Kalman filter, an optimal fusion estimation algorithm was proposed for the system.
同時以基于當前統(tǒng)計模型的卡爾曼濾波算法為基礎，針對該系統(tǒng)提出了一種最優(yōu)數(shù)據(jù)融合估計算法。
A hybrid network traffic prediction algorithm, is provided, in which Kalman filter (KF) and wavelet are combined.
針對網(wǎng)絡流量的特點，提出了一種基于卡爾曼濾波和小波分析混合的流量預測算法。
Finally, by combining the proposed MS positioning method with Kalman filtering, we propose a scheme to track the movement of the MS.
最后，將該行動定位方法與卡爾曼濾波器相結(jié)合，一個追蹤手機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.
多普勒計程儀輸出數(shù)據(jù)中有局外數(shù)據(jù)，可能會導致組合導航系統(tǒng)中的卡爾曼濾波器發(fā)散。
Second, We will improve the precision and reliability of the system with the extended Kalman filter.
其次，基于狀態(tài)方程，進行了擴展卡爾曼濾波，提高了系統(tǒng)的精度與可靠性。
The performances of the extended kalman filter(EKF) and the unscented kalman filter(UKF)in constant velocity( CV ) model are compared.
比較了跟蹤系統(tǒng)中擴展卡爾曼濾波、無跡濾波在二階常速（CV）統(tǒng)計模型下實現(xiàn)的性能。
An extended kalman filter adaptive algorithm is presented in combination with the extended kalman filter and the current statistical model.
另外將經(jīng)典的推廣卡爾曼濾波與當前統(tǒng)計模型相結(jié)合，推導了推廣卡爾曼濾波自適應跟蹤算法；
This system takes the Kalman filter as core algorithm to fuse data so that the positioning accuracy and system reliability can be improved.
采用了卡爾曼濾波為核心算法的數(shù)據(jù)融合，來提高組合導航系統(tǒng)的定位精度和可靠性。
Kalman filter and particle filter is a typical representative of the probability tracking methods.
概率跟蹤卡爾曼濾波和粒子濾波是這類方法的典型代表。
A kalman filter arithmetic for the vehicle GPS is achieved, which aims at the characteristic of vehicle GPS position.
針對車載GPS定位的特點，實現(xiàn)了一種車載GPS卡爾曼濾波算法。
Then the thesis compared unscented kalman filter and extended kalman filter, and selected the former for inverted pendulum system.
比較了擴展卡爾曼濾波和無跡卡爾曼濾波，選定無跡卡爾曼濾波為倒立擺控制系統(tǒng)的濾波算法。
Further more, an improved Kalman Filter is introduced in case that the vehicle is in motion.
并提出了在載體機動時，使用一種改進的卡爾曼濾波算法。
On spacial data processing, Kalman filter can be used validly for post processing in underwater acoustic positioning systems.
在空間數(shù)據(jù)處理方面，卡爾曼濾波應用于水聲定位系統(tǒng)的后置處理是很有效的。
Through the scalar Kalman filter algorithm, the pressure signal is predicted and the innovation value of pressure signal is obtained.
首先通過標量卡爾曼濾波算法對壓力信號進行預測，得出壓力信號的新息；
At last the normal Kalman filtering algorithm model was given and the deducing process of this algorithm was described in detail.
最后，給出了標準的卡爾曼濾波算法模型并詳細描述了算法的推導過程。
for dynamic data, Kalman filter is used to get a relative smooth trajectory of the responders.
對動態(tài)定位數(shù)據(jù)采用卡爾曼濾波方式進行處理，以獲得應答器平滑的運動軌跡。
