Results 31 to 40 of about 1,517,624 (291)
Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Remote Sensing, 2022 This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly ...
Zhen Zheng +5 more
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An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Sensors, 2021 To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale ...
Pengchao Yao, Gongliu Yang, Xiafu Peng
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Journal of Research of the National Bureau of Standards, 1985 The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
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A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation
Sensors, 2016 The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of ...
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
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Adaptive pre-filtering techniques for colour image analysis [PDF]
, 2007 One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the ...
Dana Elena Ilea +3 more
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Sensors, 2017 Transfer alignment is always a key technology in a strapdown inertial navigation system (SINS) because of its rapidity and accuracy. In this paper a transfer alignment model is established, which contains the SINS error model and the measurement model ...
Weiwei Lyu, Xianghong Cheng
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Research on filtering of electromagnetic measurement while drilling signal in underground coal mine
Gong-kuang zidonghua, 2019 In view of problems of slow convergence speed and long computation time existed in electromagnetic wireless measurement while drilling (EM-MWD) signals extracted by adaptive filtering least mean square algorithm and recursive least squares algorithm, a ...
KANG Houqing
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A SINS/DVL Integrated Positioning System through Filtering Gain Compensation Adaptive Filtering
Sensors, 2019 Because of the complex task environment, long working distance, and random drift of the gyro, the positioning error gradually diverges with time in the design of a strapdown inertial navigation system (SINS)/Doppler velocity log (DVL) integrated ...
Xiaozhen Yan +4 more
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Nonlinear Adaptive Filtering to ForecastAir Pollution [PDF]
, 2011 Non
Orione, Fiammetta +5 more
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Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation
Journal of Harbin University of Science and TechnologyTo address the issues of low filtering accuracy and poor reliability encountered when employing the Sage-Husa adaptive filtering algorithm in combined navigation systems, an improved Sage-Husa adaptive filtering algorithm is proposed.
WEN Sheng +3 more
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