Results 1 to 10 of about 2,104,946 (173)
Sparse Density Estimation with Measurement Errors [PDF]
This paper aims to estimate an unknown density of the data with measurement errors as a linear combination of functions from a dictionary. The main novelty is the proposal and investigation of the corrected sparse density estimator (CSDE).
Xiaowei Yang +3 more
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Feature-Based Characterisation of Turned Surface Topography with Suppression of High-Frequency Measurement Errors [PDF]
Errors that occur when surface topography is measured and analysed can be classified depending on the type of surface studied. Many types of surface topographies are considered when frequency-based errors are studied.
Przemysław Podulka
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Passive Measurement of Three Optical Beacon Coordinates Using a Simultaneous Method
Among other things, passive methods based on the processing of images of feature points or beacons captured by an image sensor are used to measure the relative position of objects.
Jiri Nemecek, Martin Polasek
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Assessment of the Performance of Active Energy Meters Under Unbalanced Conditions
Over recent decades, electrical power concepts under nonsinusoidal and unbalanced conditions have been continually researched by several academics around the world.
Isabela Franca Novais +1 more
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In this paper, a one-way error component regression model with measurement errors is considered. The unknown parameter vector is estimated by using the bias-corrected method, and its corresponding asymptotic properties are also developed.
Lili Yue +3 more
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Welfare Measurement and Measurement Error [PDF]
There is investigated the differential effect of a measurement error for some inequality and poverty measures. It is studied the relationship between the impact of this error and the form of the underlying structural income distribution. All conclusions are based on a good mathematical background.
Schluter, C, Chesher, AD
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Purpose. The work is aimed to reduce the intensity of the track disorder by improving the line plan parameters, ultimately ensuring the safety, smoothness and comfort of driving in the directions of high-speed train traffic. Methodology.
M. B. Kurhan +4 more
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Measurement error models: Editors’ introduction [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Yingyao, Wansbeek, Tom
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Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment
The measurement noise covariance R plays a vital role in the Kalman filter (KF) algorithm. Traditionally, a constant R is obtained by experience or experiments.
Bing Zhu +4 more
doaj +1 more source
Lidar sensors play an essential role in the perception system of automated vehicles. Fault Detection, Isolation, Identification, and Recovery (FDIIR) systems are essential for increasing the reliability of lidar sensors.
Birgit Schlager +3 more
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