Relevant bibliographies by topics / Gaussian star filter

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Gaussian star filter'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Gaussian star filter"

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Kim, Taeho, Natnael S. Zewge, Hyochoong Bang, and Hyosang Yoon. "GMM-Based Adaptive Extended Kalman Filter Design for Satellite Attitude Estimation under Thruster-Induced Disturbances." Sensors 23, no. 9 (2023): 4212. http://dx.doi.org/10.3390/s23094212.

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Star images from star trackers are usually defocused to capture stars over an exposure time for better centroid measurements. While a satellite is maneuvering, the star point on the screen of the camera is affected by the satellite, which results in the degradation of centroid measurement accuracy. Additionally, this could result in a worse star vector outcome. For geostationary satellites, onboard thrusters are used to maintain or change orbit parameters under orbit disturbances. Since there is misalignment in the thruster and torque is generated by an impulsive shape signal from the torque c
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Cui, Kai, Zhaohui Liu, Junfeng Han, Yuke Ma, Peng Liu, and Bingbing Gao. "Event-Driven Maximum Correntropy Filter Based on Cauchy Kernel for Spatial Orientation Using Gyros/Star Sensor Integration." Sensors 24, no. 22 (2024): 7164. http://dx.doi.org/10.3390/s24227164.

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Gyros/star sensor integration provides a potential method to obtain high-accuracy spatial orientation for turntable structures. However, it is subjected to the problem of accuracy loss when the measurement noises become non-Gaussian due to the complex spatial environment. This paper presents an event-driven maximum correntropy filter based on Cauchy kernel to handle the above problem. In this method, a direct installation mode of gyros/star sensor integration is established and the associated mathematical model is derived to improve the turntable’s control stability. Based on this, a Cauchy ke
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Chi, Luo-jia, Xin-xi Feng, and Lu Miao. "Generalized Labeled Multi-Bernoulli Extended Target Tracking Based on Gaussian Process Regression." MATEC Web of Conferences 176 (2018): 01017. http://dx.doi.org/10.1051/matecconf/201817601017.

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For the problems that Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter cannot accurately estimate the extended target shape and has a bad tracking performance under the condition of low SNR, a new generalized labeled multi-Bernoulli algorithm based on Gaussian process regression is proposed. The algorithm adopts the star convex to model the extended target, and realizes the online learning of the Gaussian process by constructing the state space model to complete the estimation of the extended target shape. At the same time, in the low SNR environmen
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KETENCİ, Seniha, and Ali GANGAL. "Automatic reduction of periodic noise in images using adaptive Gaussian star filter." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 25 (2017): 2336–48. http://dx.doi.org/10.3906/elk-1506-78.

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Sun, Lifan, Haofang Yu, Jian Lan, Zhumu Fu, Zishu He, and Jiexin Pu. "Tracking of Multiple Maneuvering Random Hypersurface Extended Objects Using High Resolution Sensors." Remote Sensing 13, no. 15 (2021): 2963. http://dx.doi.org/10.3390/rs13152963.

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With the increased resolution capability of modern sensors, an object should be considered as extended if the target extent is larger than the sensor resolution. Multiple maneuvering extended object tracking (MMEOT) uses not only measurements of the target centroid but also high-resolution sensor measurements which may resolve individual features or measurement sources. MMEOT aims to jointly estimate object number, centroid states, and extension states. However, unknown and time-varying maneuvers of multiple objects produce difficulties in terms of accurate estimation. For multiple maneuvering
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Roell, Tristan, Andreas Seifahrt, and Ralph Neuhäuser. "Search for extrasolar planets with high-precision relative astrometry by ground-based and single-aperture observations." Proceedings of the International Astronomical Union 3, S249 (2007): 57–60. http://dx.doi.org/10.1017/s1743921308016372.

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AbstractWe present our search program for substellar companions using high-precision relative astronomy. Due to its orbital motion around the star, an unseen substellar companion would produce a periodic “wobble” of the host star, which is the astrometric signal of the unseen companion. By measuring the separation between the components of stellar double and triple systems, we want to measure this astrometric signal of a possible unseen companion indirectly as a relative and periodic change of these separations. Using a new observation mode (the “cube-mode”) where the frames were directly save
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Taha, A. S., L. Labadie, E. Pantin, et al. "The spatial extent of polycyclic aromatic hydrocarbons emission in the Herbig star HD 179218." Astronomy & Astrophysics 612 (April 2018): A15. http://dx.doi.org/10.1051/0004-6361/201732008.

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Aim. We investigate, in the mid-infrared, the spatial properties of the polycyclic aromatic hydrocarbons (PAHs) emission in the disk of HD 179218, an intermediate-mass Herbig star at ~300 pc. Methods. We obtained mid-infrared images in the PAH-1, PAH-2 and Si-6 filters centered at 8.6, 11.3, and 12.5 μm, and N-band low-resolution spectra using CanariCam on the 10-m Gran Telescopio Canarias (GTC). We compared the point spread function (PSF) profiles measured in the PAH filters to the profile derived in the Si-6 filter, where the thermal continuum emission dominates. We performed radiative trans
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Huang, Shuo, Hideki Umehata, Ryohei Kawabe, et al. "Characterizing CO Emitters in the SSA22-AzTEC26 Field." Astrophysical Journal 953, no. 1 (2023): 75. http://dx.doi.org/10.3847/1538-4357/ace0c0.

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Abstract We report the physical characterization of four CO emitters detected near the bright submillimeter galaxy (SMG) SSA22-AzTEC26. We analyze the data from Atacama Large Millimeter/submillimeter Array band 3, 4, and 7 observations of the SSA22-AzTEC26 field. In addition to the targeted SMG, we detect four line emitters with signal-to-noise ratio >5.2 in the cube smoothed with a 300 km s−1 FWHM Gaussian filter. All four sources have NIR counterparts within 1″. We perform UV-to-FIR spectral energy distribution modeling to derive the photometric redshifts and physical properties. Based on
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Zari, E., H. Hashemi, A. G. A. Brown, K. Jardine, and P. T. de Zeeuw. "3D mapping of young stars in the solar neighbourhood with Gaia DR2." Astronomy & Astrophysics 620 (December 2018): A172. http://dx.doi.org/10.1051/0004-6361/201834150.

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We study the three dimensional arrangement of young stars in the solar neighbourhood using the second release of the Gaia mission (Gaia DR2) and we provide a new, original view of the spatial configuration of the star-forming regions within 500 pc of the Sun. By smoothing the star distribution through a Gaussian filter, we construct three dimensional (3D) density maps for early-type stars (upper-main sequence, UMS) and pre-main sequence (PMS) sources. The PMS and the UMS samples are selected through a combination of photometric and astrometric criteria. A side product of the analysis is a 3D,
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Songai, Gao, Zhang Ningning, and Zheng Xiang. "Design of Precise Estimation Algorithm for Sports Pose Based on Multifeature Fusion." Mobile Information Systems 2022 (October 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/1224939.

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The estimation time and estimation precision of motion pose samples are problematic for the pose estimation algorithm of sports movements. This paper proposes a multifeature fusion-based algorithm for accurate posture estimation. The human rod model is constructed after analyzing the human pose estimation technology. Using the Kalman filter method, the degree of freedom and range of motion of the major joints of the human body were determined. The eight-star model was used to extract the sports posture features, and the weighted average method was used to process the grayscale images of sports
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Dissertations / Theses on the topic "Gaussian star filter"

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Petitjean, Julien. "Contributions au traitement spatio-temporel fondé sur un modèle autorégressif vectoriel des interférences pour améliorer la détection de petites cibles lentes dans un environnement de fouillis hétérogène Gaussien et non Gaussien." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14157/document.

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Cette thèse traite du traitement adaptatif spatio-temporel dans le domaine radar. Pour augmenter les performances en détection, cette approche consiste à maximiser le rapport entre la puissance de la cible et celle des interférences, à savoir le bruit thermique et le fouillis. De nombreuses variantes de cet algorithme existent, une d’entre elles est fondée sur une modélisation autorégressive vectorielle des interférences. Sa principale difficulté réside dans l’estimation des matrices autorégressives à partir des données d’entrainement ; ce point constitue l’axe de notre travail de recherche. E
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Book chapters on the topic "Gaussian star filter"

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Mohammadi M., Petkov N., Peletier R.F., Bibiloni P., and Bunte K. "Detection of Globular Clusters in the Halo of Milky Way." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-929-4-70.

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Finding interesting stellar structures inside large astronomical datasets is a challenging task. Depending on the type of data different techniques are needed to tackle this challenge. In this paper, we focus on the GAIA survey DR1, which provides the sky positions and G-band magnitudes for more than 109 stars. We compare the use of the magnitude distribution (or luminosity function) and Difference of Gaussian filtering extracted from small patches of the sky to detect globular clusters (GC). By using a Nearest Neighbor Retrieval strategy we find windows which depict similar magnitude distribu
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Conference papers on the topic "Gaussian star filter"

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Ketenci, Seniha, and Ali Gangal. "Design of Gaussian star filter for reduction of periodic noise and quasi-periodic noise in gray level images." In 2012 International Symposium on Innovations in Intelligent Systems and Applications (INISTA). IEEE, 2012. http://dx.doi.org/10.1109/inista.2012.6246937.

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Ginolhac, G., and P. Forster. "Performance analysis of a Robust Low-Rank STAP filter in low-rank Gaussian clutter." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5496218.

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Ito, Hiroshi. "Identification of Metal Temperature Distribution in Steam Turbine During Start-Up Operation Using Particle Filter and Model Order Reduction." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90727.

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Abstract In steam turbines (STs), evaluation technology of thermal deformations during transient operations is increasingly important, because of a demand for improvement of operability such as shortening startup time. However, it is still difficult to predict temperatures of metal parts with sufficient accuracy due to complexity of heat transfer phenomena. The present study puts its focus on developing a method to identify metal temperatures of STs during start-up operations using particle filter (PF), a kind of sequential Bayesian filter utilizing ensemble approximation, and model order redu
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Grisell, Andrea, and Murali Sundaram. "Creation of Functionally Graded Glass Channels by Electrochemical Discharge Machining Process: A Feasibility Study." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-63916.

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Abstract Functionally graded surfaces — surfaces with properties that are engineered to have spatial variations — have numerous applications such as micropumps, auto-mixers, and flow control for lab-on-chip devices. Manufacturing of functionally graded surfaces is an increasingly important topic of research. This study investigates the feasibility of creating a functionally graded surface during channeling of borosilicate glass by the electrochemical discharge machining (ECDM) process. The ability to create surface roughness gradients in microchannels during the machining process was demonstra
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