Academic literature on the topic 'Spectral residual methods'
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Journal articles on the topic "Spectral residual methods"
Canuto, Claudio, and Alfio Quarteroni. "Preconditioned minimal residual methods for chebyshev spectral calculations." Journal of Computational Physics 60, no. 2 (September 1985): 315–37. http://dx.doi.org/10.1016/0021-9991(85)90010-5.
Full textTSUCHIDA, Satoshi, Soichiro TANAKA, and Takayuki ODAJIMA. "Spectral Pattern Index for Logarithmic Residual and the similar methods." Journal of the Japan society of photogrammetry and remote sensing 32, no. 1 (1993): 25–35. http://dx.doi.org/10.4287/jsprs.32.25.
Full textWong, Yau Shu, Thomas A. Zang, and M. Yousuff Hussaini. "Preconditioned conjugate residual methods for the solution of spectral equations." Computers & Fluids 14, no. 2 (January 1986): 85–95. http://dx.doi.org/10.1016/0045-7930(86)90001-0.
Full textSchiff, N. D., K. P. Purpura, and J. D. Victor. "Gating of Local Network Signals Appears as Stimulus-Dependent Activity Envelopes in Striate Cortex." Journal of Neurophysiology 82, no. 5 (November 1, 1999): 2182–96. http://dx.doi.org/10.1152/jn.1999.82.5.2182.
Full textLi, Shaodan, Shiyu Fu, and Dongbo Zheng. "Rural Built-Up Area Extraction from Remote Sensing Images Using Spectral Residual Methods with Embedded Deep Neural Network." Sustainability 14, no. 3 (January 24, 2022): 1272. http://dx.doi.org/10.3390/su14031272.
Full textKim, Cheolsun, Dongju Park, and Heung-No Lee. "Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network." Sensors 20, no. 3 (January 21, 2020): 594. http://dx.doi.org/10.3390/s20030594.
Full textLiu, Qin, Letong Han, Rui Tan, Hongfei Fan, Weiqi Li, Hongming Zhu, Bowen Du, and Sicong Liu. "Hybrid Attention Based Residual Network for Pansharpening." Remote Sensing 13, no. 10 (May 18, 2021): 1962. http://dx.doi.org/10.3390/rs13101962.
Full textHe, S., H. Jing, and H. Xue. "SPECTRAL-SPATIAL MULTISCALE RESIDUAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 389–95. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-389-2022.
Full textMeng, Zhe, Lingling Li, Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang. "Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification." Remote Sensing 11, no. 16 (August 13, 2019): 1896. http://dx.doi.org/10.3390/rs11161896.
Full textShamsipour, Pejman, Michel Chouteau, and Denis Marcotte. "Data analysis of potential field methods using geostatistics." GEOPHYSICS 82, no. 2 (March 1, 2017): G35—G44. http://dx.doi.org/10.1190/geo2015-0631.1.
Full textDissertations / Theses on the topic "Spectral residual methods"
Casper, Brent. "DEVELOPMENT OF AN EXTRACTION METHOD FOR THE MASS SPECTRAL ANALYSIS OF ORGANIC GUNSHOT RESIDUE FROM CLOTHING." UKnowledge, 2015. http://uknowledge.uky.edu/chemistry_etds/48.
Full textCali, José. "Etude des paramètres microscopiques de la piézorésistivité de couches minces polycristallines de silicium dopé bore." Université Joseph Fourier (Grenoble), 1996. http://www.theses.fr/1996GRE10055.
Full textSgattoni, Cristina. "Solving systems of nonlinear equations via spectral residual methods." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238325.
Full textLiou, Chu Pheuil. "Tests d'ajustement reposant sur les méthodes d'ondelettes dans les modèles ARMA avec un terme d'erreur qui est une différence de martingales conditionnellement hétéroscédastique." Thèse, 2019. http://hdl.handle.net/1866/22551.
Full textBooks on the topic "Spectral residual methods"
Sanghrajka, Anish, and Deborah M. Eastwood. Developmental dysplasia of the hip. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.013017.
Full textBook chapters on the topic "Spectral residual methods"
Dozier, Haley, and James V. Lambers. "Krylov Subspace Spectral Methods with Coarse-Grid Residual Correction for Solving Time-Dependent, Variable-Coefficient PDEs." In Lecture Notes in Computational Science and Engineering, 317–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65870-4_22.
Full textPriya, K., and K. K. Rajkumar. "Hyperspectral and Multispectral Image Fusion Using Deep Convolutional Neural Network - ResNet Fusion." In Hyperspectral Imaging - A Perspective on Recent Advances and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105455.
Full textMatandabuzo, Mzukisi, and Delford Dovorogwa. "Activated Carbons from Waste Tyre Pyrolysis: Application." In Recent Perspectives in Pyrolysis Research. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99131.
Full textFerrell, Jeff. "Drift Method." In Drift. University of California Press, 2018. http://dx.doi.org/10.1525/california/9780520295544.003.0008.
Full text"Understanding the Molecular Information Contained in the Infrared Spectra of Colombian Vacuum Residua by Principal Component Analysis." In Analytical Methods in Petroleum Upstream Applications, 298–323. CRC Press, 2015. http://dx.doi.org/10.1201/b18109-20.
Full textOrrego-Ruiz, Jorge, Daniel Molina, Enrique Mejía-Ospino, and Alexander Guzmán. "Understanding the Molecular Information Contained in the Infrared Spectra of Colombian Vacuum Residua by Principal Component Analysis." In Analytical Methods in Petroleum Upstream Applications, 275–300. CRC Press, 2015. http://dx.doi.org/10.1201/b18109-21.
Full textTankala, Manikyala Rao, Samuel Stella, Prayek Sandepogu, Kondaveeti Nanda Gopal, Ramesh Babu Mamillapalli, and Devarakonda Rambabu. "A Robust Method for Classification and Localization of Satellite Cyclonic Images Over the Bay of Bengal and the Arabian Sea Using Deep Learning." In Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, 217–33. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3981-4.ch014.
Full textMcKnight, Rebecca, Jonathan Price, and John Geddes. "Eating disorders." In Psychiatry. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198754008.003.0035.
Full textWilson, M. T., and J. Torres. "Stopped-flow spectroscopy." In Spectrophotometry and Spectrofluorimetry. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780199638130.003.0012.
Full text"niques were prepared using pentane as the solvent. Similar methods were used in preparing calibration samples with the mold release, solder flux, and hydraulic oil samples. All contaminated coupons were gentl y heated in an oven at 50°C for several days to remove both semi-volatile and volatile components. This served to stabi-lize the contaminants, allowing for quantification by weighing. Once the weights became stable, the coupons were cooled and weighed to determine the amount of contaminant present on the surface. When not being weighed or examined, the coupons were kept in a desiccator. 3. RESULTS AND DISCUSSION Grazing-angle incidence reflectance spectroscopy acts to enhance the detection sensitivity for thin layers of residue predominantly through improved coupling of th e electric field intensity of the incident beam with the vibrating dipoles of the surface contaminant layer perpendicular to the metallic surface. Some additional enhancement of the infrared absorption spectrum will also occur due to a length-ening of the effective path length through the absorbing thin film layer [4-6]. If the optical properties of both thin film and substrate are known (or can be de-termined), the reflection-absorption spectrum can be calculated as a function of film thickness and angle of incidence. This capability is particularly useful for in-terpreting experimental data and designing optical instrumentation. Computer codes written at Sandia [7] performed these calculations for a variety of materials. 3.1. FTIR measurements FTIR reflectance data for the full drawing-agent sample set were obtained at NFESC and Sandia using angles of incidence of 75 and 60° for average film thickness ranging from 0.1 to 1 |im, and aluminum substrates with surface finish ranging from 600 to 80 grit. Since the surface finishing operation produced a highly directional roughness, measurements were made both longitudinally and transversely with respect to the polishing grooves. R values were determined at." In Surface Contamination and Cleaning, 17–20. CRC Press, 2003. http://dx.doi.org/10.1201/9789047403289-5.
Full textConference papers on the topic "Spectral residual methods"
"Spectral Solutions of a Combined Multifluid--population Balance ModelDescribing Bubbly Flow - A Numerical Study of weighted Residual Methods." In 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004477401020107.
Full textWu, Hangkong, Dingxi Wang, Xiuquan Huang, Hong Yan, and Jianling Li. "Investigation of Spectral Vanishing Viscosity for Stabilizing and Accelerating Solution of Time Spectral Equation System." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-76011.
Full textLiu, Yu, Pooya Ghaderi, and Andrew J. Dick. "High Fidelity Methods for Modeling Nonlinear Wave Propagation in One-Dimensional Waveguides." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88162.
Full textHuang, Xiuquan, and Ding Xi Wang. "Stabilizing and Accelerating Solution of Harmonic Balance Equation System Using the LU-SGS and Block Jacobi Methods." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57292.
Full textLu, Yi, Xin Yuan, and W. N. Dawes. "Investigation of 3D Internal Flow Using New Flux-Reconstruction High Order Method." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69270.
Full textLuz, A. M. G., D. Balint, and K. Nikbin. "A Multiscale NDT System for Damage Detection in Thermal Barrier Coatings." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10694.
Full textGutman, William M., William A. Peterson, and Dennis M. Garvey. "Spatial frequency shifts in Fourier transform spectra." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ftt2.
Full textWang, Jinli, Yongmei Liu, Li Wang, Haiou Guan, Songhuai Du, Juan Su, Yating Cai, and Tingting Fan. "Spectrum analysis method of residual current based on Hilbert-Huang transform." In 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764118.
Full textFei Yang, Jingwen Dai, and Dan Liu. "A novel eye localization method based on spectral residual model." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593958.
Full textZhang, Qian, Yulin Huang, Rufei Wang, Jifang Pei, Weibo Huo, and Junjie Wu. "Ship Targets Detection with Dual Downscaling Spectral Residual Method in SAR Image." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048331.
Full textReports on the topic "Spectral residual methods"
Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
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