Academic literature on the topic 'Propagation spatial'
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Journal articles on the topic "Propagation spatial":
Haiyan Chen, Haiyan Chen, Meng Wang Meng Wang, Cong Chen Cong Chen, Lilin Chen Lilin Chen, Qi Li Qi Li, and Kaiqiang Huang Kaiqiang Huang. "Analogy of light propagation in spatial and temporal domains." Chinese Optics Letters 12, s1 (2014): S12601–312602. http://dx.doi.org/10.3788/col201412.s12601.
Sogo, Takushi, Hiroshi Ishiguro, and Toru Ishida. "Spatial constraint propagation for identifying qualitative spatial structure." Systems and Computers in Japan 31, no. 2 (February 2000): 62–71. http://dx.doi.org/10.1002/(sici)1520-684x(200002)31:2<62::aid-scj7>3.0.co;2-o.
Maleev, I. D., and G. A. Swartzlander, Jr. "Propagation of spatial correlation vortices." Journal of the Optical Society of America B 25, no. 6 (May 14, 2008): 915. http://dx.doi.org/10.1364/josab.25.000915.
Chakraborty, Arindam, and Ravi S. Nanjundiah. "Space–Time Scales of Northward Propagation of Convection during Boreal Summer." Monthly Weather Review 140, no. 12 (December 1, 2012): 3857–66. http://dx.doi.org/10.1175/mwr-d-12-00088.1.
Sabín, Carlos. "Light Propagation through Nanophotonics Wormholes." Universe 4, no. 12 (November 29, 2018): 137. http://dx.doi.org/10.3390/universe4120137.
Dzieciuch, Matthew, and T. G. Birdsall. "Spatial matched processing for multipath propagation." Journal of the Acoustical Society of America 82, S1 (November 1987): S73. http://dx.doi.org/10.1121/1.2024961.
Wang, Kaifa, and Wendi Wang. "Propagation of HBV with spatial dependence." Mathematical Biosciences 210, no. 1 (November 2007): 78–95. http://dx.doi.org/10.1016/j.mbs.2007.05.004.
Kazemzadeh, Ali, and Ilia Laali Niyat. "Spatial modelling of railway noise propagation." Journal of Geospatial Information Technology 7, no. 1 (May 1, 2019): 145–68. http://dx.doi.org/10.29252/jgit.7.1.145.
Katragadda, Satya, Jian Chen, and Shaaban Abbady. "Spatial hotspot detection using polygon propagation." International Journal of Digital Earth 12, no. 7 (June 18, 2018): 825–42. http://dx.doi.org/10.1080/17538947.2018.1485754.
Evers, Frederic M., Willi H. Hager, and Robert M. Boes. "Spatial Impulse Wave Generation and Propagation." Journal of Waterway, Port, Coastal, and Ocean Engineering 145, no. 3 (May 2019): 04019011. http://dx.doi.org/10.1061/(asce)ww.1943-5460.0000514.
Dissertations / Theses on the topic "Propagation spatial":
Mahmood, Attiya. "Impact of Antenna Mutual Coupling, Propagation, and Nonreciprocity on Propagation-Based Key Establishment." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6831.
Dunn, Adam. "A model of wildfire propagation using the interacting spatial automata formalism." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0071.
Hahn, Philip James. "Origination and Propagation of Reaction Diffusion Waves in Three Spatial Dimensions." Cleveland, Ohio : Case Western Reserve University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=case1091809306.
Title from PDF (viewed on 2009-11-23) Department of Mathematics Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
Hahn, Philip James. "Origination and propagation of reaction diffusion waves in three spatial dimensions." online version, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1091809306.
Agerskov, Niels. "Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241542.
Trots att framstegen inom djupinlärning banar vägen för medicinsk bildanalys snabbare än någonsin så finns det ett stort problem, mängden annoterad bilddata. Det har bland annat att göra med att medicinsk bilddata tar väldigt lång tid att annotera manuellt. I detta projektet har en semi-automatisk algoritm utvecklats som tar sig an 3D-segmentering från ett 2D-perspektiv. En bildvolym segmenteras genom att en initialiseringbild annoteras manuellt och används som hjälp för att annotera närliggande bilder i volymen. Detta upprepas sedan för resterande bilder men istället för att manuellt annotera används föregående segmentering av närverket som hjälp. Detta tillåter att algoritmen både kan generalisera till helt nya fall som ej är representerade av träningsdatan, och gör även att felaktigt segmenterade bilder kan korrigeras i efterhand. Korrigeringar kommer då att propageras genom volymen genom att varje segmentering används som hjälp för nästkommande bild. Resultaten är i nivå med motsvarande helautomatiska algoritmer inom träningsdomänen. Den största fördelen gentemot dessa är möjligheten att segmentera helt nya fall. Metoden som används för att träna nätverket att förlita sig på hjälpbilder bygger på kraftig bilddistortion av bilden som ska segmenteras. Detta tvingar nätverket att ta vara på informationen i segmenteringen av föregående bild.
Moustafa, Mahmoud. "Fabrication of Micropatterns for the Spatial Control of Cell Propagation and DIfferentiation." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3555.
De, Rybel Tom. "Temporal-spatial discretization and fractional latency techniques for wave propagation in heterogeneous media." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/20573.
DIAS, MAURICIO HENRIQUE COSTA. "ACTUAL MOBILE RADIO PROPAGATION CHANNEL RESPONSES ESTIMATES IN THE SPATIAL AND TEMPORAL DOMAINS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3502@1.
No cenário atual das telecomunicações móveis, os arranjos de antenas voltaram a receber grande atenção dos pesquisadores, especialmente quando esquemas adaptativos de modificação de seus diagramas de radiação são utilizados. Uma das aplicações que exploram o potencial dos arranjos de antenas é o seu uso como forma de aumentar consideravelmente a eficiência espectral dos sistemas móveis atuais e da próxima geração. A outra aplicação em evidência está voltada para sistemas de localização de posição, pois algumas das técnicas conhecidas envolvem a estimação de ângulos-de-chegada usando arranjos de antenas. Diante destas possibilidades, cresce em importância o estudo das variações do canal de propagação rádio móvel no domínio em que o uso dos arranjos de antenas atua: o espacial. O presente trabalho procura contribuir para o contexto em questão, com uma investigação experimental do canal real rádio-móvel nos domínios temporal (retardos) e espacial (ângulos-de-chegada). No que se refere ao contexto nacional, contribuições similares baseadas em simulações já são encontradas; baseadas em medidas não. Em particular, sondagens na faixa de 1,8 GHz em ambientes internos típicos foram realizadas. Duas técnicas distintas de sondagem temporalespacial foram implementadas, tomando por base uma sonda de canal faixa-larga montada e testada com sucesso, como contribuição principal de uma dissertação de mestrado recentemente apresentada por um integrante do mesmo grupo de pesquisa ao qual esta tese está vinculada. Uma das técnicas sintetiza o arranjo realizando as sondagens com uma única antena que é sucessivamente deslocada para ocupar as posições correspondentes às dos elementos do arranjo. A outra técnica emprega um arranjo real. Em ambas, a configuração mais simples para um arranjo foi utilizada: a linear uniforme. As sondagens não forneciam diretamente os espectros espaciais-temporais. As estimativas dos espectros foram processadas posteriormente, aplicando técnicas como o correlograma para o domínio do retardo, e quatro técnicas distintas para o domínio espacial, que foi o foco principal deste trabalho: duas convencionais; e duas paramétricas, com potencial de aumentar a resolução das estimativas, assumindo hipóteses razoáveis sobre as respostas esperadas. De posse das respostas espectrais estimadas, comparações com estimativas teóricas permitiram uma análise de desempenho das técnicas utilizadas. Adicionalmente à investigação experimental do canal espacial, procurou-se verificar o potencial da aplicação da teoria de wavelets ao estudo do canal rádiomóvel. Em especial, uma das principais aplicações daquela teoria foi testada como técnica de pós-processamento das respostas espectrais no domínio do retardo. A supressão de ruído por decomposição wavelet foi aplicada a um vasto conjunto de medidas de canal disponíveis, fruto de trabalhos anteriores do grupo de pesquisa ao qual esta tese está vinculada, com resultados expressivos.
In the present mobile communications scenario, researchers have turned once again special attention to antennae arrays, particularly when adaptive schemes are employed to modify its radiation patterns. One of its main applications results in considerable increases to the spectral efficiency of present and next generation mobile systems. The other major application is headed towards position location systems, since some of the known techniques comprise angle-of-arrival estimation using antennae arrays. Under such possibilities, mobile radio propagation channel variations studies grow in relevance, specially regarding the antennae arrays main domain of action: the spatial domain. The present work tries to contribute to the overstated context, experimentally investigating the actual mobile radio channel over the temporal (delays) and spatial (angles of arrival) domains. Regionally speaking, similar contributions based on simulations are already found, but none based on measurements. In special, 1.8 GHz indoor soundings have been carried out. Two different temporal spatial sounding techniques have been deployed, based on na available wideband channel sounder successfully assembled and tested as the major contribution of a MSc. dissertation recently presented by a member of the same research team to which this thesis belongs. One of such techniques sinthesyzes the array carrying the sounding out with a single antenna, which is successively moved to occupy the spots corresponding to the array elements. The other method employs an actual array. For both cases, the simplest array configuration has been used: the uniform linear one. Space-time spectra were not directly available in real time during the soundings. Its estimates have been processed later, applying techniques such as the correlogram over the delay domain, and four distinct methods over the spatial domain, the main focus of the present work. Two conventional methods have been used, as well as two parametric ones, potentially capable to increase the estimates resolution, assuming reasonable hypotheses regarding the expected responses. With the estimated spectral responses in hands, comparisons with theoretical estimates allowed a performance assessment of the employed methods. In addition to the spatial channel experimental investigation, the wavelets theory potential of application to the mobile-radio channel study has been checked out. Notably, one of the wavelets theory major applications has been tested as a post-processing technique to improve delay-domain spectral responses. Wavelet decomposition based de-noising has been applied to a huge measurements ensemble, available as the product of previous works of the research group to which this thesis is attached, leading to remarkable results.
Kim, Hyunki. "Spatial variability in soils stiffness and strength /." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-07132005-194445/.
Mayne, Paul, Committee Member ; Frost, David, Committee Member ; Santamarina, Carlos, Committee Chair ; Rix, Glenn, Committee Member ; Ruppel, Carolyn, Committee Member.
Wiles, Andrew Donald. "Modelling Framework for Radio Frequency Spatial Measurement." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/771.
In this thesis, a modelling framework for the investigation of spatial measurement based on radio frequency signals was developed. The simulation framework was designed for the purpose of investigating different position determination algorithms and sensor geomatries. A finite element model using the FEMLAB partial differential equation modelling tool was created for a time-domain model of electromagnetic wave propagation in order to simulate the radio frequency signals travelling from a transmitting source antenna to a set of receiving antenna sensors. Electronic line signals were obtained using a simple receiving infinitesimal dipole model and input into a time difference of arrival localization algorithm. The finite element model results were validated against a set of analytical solutions for the free space case. The accuracy of the localization algorithm was measured against a set of possible applications for a potential radio frequency spatial measurement system design.
It was concluded that the simulation framework was successful should one significant deficiency be corrected in future research endeavours. A phase error was observed in the signals extracted at the receiving antenna locations. This phase error, which can be up to 40°, was attributed to the zeroth order finite elements implemented in the finite element model. This phase error can be corrected in the future if higher order vector elements are introduced into future versions of FEMLAB or via the development of custom finite element analysis software but were not implemented in this thesis due to time constraints. Other improvements were also suggested for future work.
Books on the topic "Propagation spatial":
Heuvelink, Gerard B. M. Error propagation in quantitative spatial modelling: Applications in geographical information systems. [Amsterdam]: Koninklijk Nederlands Aardrijkskundig Genootschap, 1993.
Groters, Douglas J. The temporal and spatial variability of the marine atmospheric boundary layer and its effect on electromagnetic propagation in and around the Greenland Sea marginal ice zone. Monterey, California: Naval Postgraduate School, 1988.
Barué, Gérard. Télécommunications et infrastructure: Liaisons hertziennes, spatiales, optiques. Paris: Ellipses, 2003.
Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.
Lataitis, R. J. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.
Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.
Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.
Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.
Willis, Zdenka S. The spatial and temporal variability of the Arctic atmospheric boundary layer and its effect on electromagnetic (EM) propagation. 1987.
Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.
Book chapters on the topic "Propagation spatial":
Bivand, Roger. "Error Propagation in Spatial Prediction." In Encyclopedia of GIS, 1–5. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_367-2.
Bivand, Roger. "Error Propagation in Spatial Prediction." In Encyclopedia of GIS, 552–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_367.
Bivand, Roger. "Error Propagation in Spatial Prediction." In Encyclopedia of GIS, 287–90. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_367.
Faragó, István, and Róbert Horváth. "On a Spatial Epidemic Propagation Model." In Mathematics in Industry, 517–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23413-7_72.
Petruskevicius, R. "Nonparaxial Propagation of Parametric Spatial Solitons." In Soliton-driven Photonics, 91–94. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0682-8_10.
Altman, C., and K. Suchy. "Wave propagation in a cold magnetoplasma." In Reciprocity, Spatial Mapping and Time Reversal in Electromagnetics, 1–45. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1530-1_1.
Altman, C., and K. Suchy. "Wave propagation in a cold magnetoplasma." In Reciprocity, Spatial Mapping and Time Reversal in Electromagnetics, 6–52. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7915-5_2.
Cencini, Massimo, Cristobal Lopez, and Davide Vergni. "Reaction-Diffusion Systems: Front Propagation and Spatial Structures." In Lecture Notes in Physics, 187–210. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39668-0_9.
Park, Jinsun, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, and In So Kweon. "Non-local Spatial Propagation Network for Depth Completion." In Computer Vision – ECCV 2020, 120–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58601-0_8.
Rituerto, Alejandro, Roberto Manduchi, Ana C. Murillo, and J. J. Guerrero. "3D Spatial Layout Propagation in a Video Sequence." In Lecture Notes in Computer Science, 374–82. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11755-3_42.
Conference papers on the topic "Propagation spatial":
Rowden, Alexander, Süleyman Aslan, Eric Krokos, Kirsten Whitley, and Amitabh Varshney. "WaveRider: Immersive Visualization of Indoor Signal Propagation." In SUI '22: Symposium on Spatial User Interaction. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3565970.3567689.
Maleev, Ivan D., and Grover A. Swartzlander. "Propagation of Spatial Correlation Vortices." In Frontiers in Optics. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/fio.2005.fthw5.
Bhattacharjee, Abhinandan, Mritunjay K. Joshi, Suman Karan, Jonathan Leach, and Anand K. Jha. "Propagation-induced spatial entanglement revival." In Quantum Information and Measurement. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/qim.2021.m2a.6.
Oliver, Dev, Petko Bakalov, Sangho Kim, and Erik Hoel. "Attribute Propagation for Utilities." In SSTD '21: 17th International Symposium on Spatial and Temporal Databases. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469830.3470907.
Agarwal, G. S. "Generation and Propagation of Spatial Coherence." In Frontiers in Optics. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/fio.2004.jma2.
Prahl, Scott A., Donald D. Duncan, and David G. Fischer. "Monte Carlo propagation of spatial coherence." In SPIE BiOS: Biomedical Optics, edited by Adam Wax and Vadim Backman. SPIE, 2009. http://dx.doi.org/10.1117/12.809603.
Ho, Seng-Tiong. "Treatment of spatial propagation and localized states in quantum optics." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.thl.7.
Dugan, Jordan, Tom J. Smy, and Shulabh Gupta. "Emulating Spatial Dispersion Using Non-Spatially Dispersive Periodic Metasurfaces." In 2024 18th European Conference on Antennas and Propagation (EuCAP). IEEE, 2024. http://dx.doi.org/10.23919/eucap60739.2024.10501243.
Porrat, Dana, Eli Kaminsky, and Moshe Uziel. "Spatial stability in indoor radio propagation channels." In 2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel (IEEEI). IEEE, 2008. http://dx.doi.org/10.1109/eeei.2008.4736715.
Harris, Jeremie, Frederic Bouchard, Harjaspreet Mand, Nicolas Bent, Enrico Santamato, Robert Boyd, and Ebrahim Karimi. "Recovery of quantum coherence by spatial propagation." In 2015 Photonics North. IEEE, 2015. http://dx.doi.org/10.1109/pn.2015.7292492.
Reports on the topic "Propagation spatial":
Heaney, Kevin. Spatial Structure of Deep Water Acoustic Propagation. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533364.
Hart, Carl R., and Gregory W. Lyons. A Measurement System for the Study of Nonlinear Propagation Through Arrays of Scatterers. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38621.
Gertner, George. Uncertainty Propagation and Partitioning in Spatial Prediction of Topographical Factor for RUSLE. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada379657.
Minkoff, S. E. Spatial parallelism of a 3D finite difference, velocity-stress elastic wave propagation code. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/750170.
Ferguson, J. A., and C. H. Shellman. Spatial Smoothing of Ionospheric Parameters for Use in the High-Frequency Benchmark Propagation Analysis Program. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada244532.
Alter, Ross, Michelle Swearingen, and Mihan McKenna. The influence of mesoscale atmospheric convection on local infrasound propagation. Engineer Research and Development Center (U.S.), February 2024. http://dx.doi.org/10.21079/11681/48157.
Tovar, Anthony. Off-axis multimode light beam propagation in tapered lenslike media including those with spatial gain or loss variation. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5711.
Pettit, Chris, and D. Wilson. A physics-informed neural network for sound propagation in the atmospheric boundary layer. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41034.
Wilson, D., Vladimir Ostashev, and Max Krackow. Phase-modulated Rice model for statistical distributions of complex signals. Engineer Research and Development Center (U.S.), August 2023. http://dx.doi.org/10.21079/11681/47379.
Wilson, D., Matthew Kamrath, Caitlin Haedrich, Daniel Breton, and Carl Hart. Urban noise distributions and the influence of geometric spreading on skewness. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42483.