Littérature scientifique sur le sujet « The Optimum Detection Probabilities »
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Articles de revues sur le sujet "The Optimum Detection Probabilities"
Al-Ababneh, Nedal, et Hasan Aldiabat. « Optimum consultation for serial distributed detection systems ». International Journal of Electrical and Computer Engineering (IJECE) 12, no 3 (1 juin 2022) : 2636. http://dx.doi.org/10.11591/ijece.v12i3.pp2636-2644.
Texte intégralFriehe, Tim. « Optimal sanctions and endogeneity of differences in detection probabilities ». International Review of Law and Economics 28, no 2 (juin 2008) : 150–55. http://dx.doi.org/10.1016/j.irle.2008.02.004.
Texte intégralPateriya, Priyanka, Rakesh Singhai et Piyush Shukla. « Design and Implementation of Optimum LSD Coded Signal Processing Algorithm in the Multiple-Antenna System for the 5G Wireless Technology ». Wireless Communications and Mobile Computing 2022 (25 février 2022) : 1–12. http://dx.doi.org/10.1155/2022/7628814.
Texte intégralSolodov, A. A. « Optimal Poisson Cognitive System with Markov Learning Model ». Open Education 25, no 6 (27 décembre 2021) : 45–52. http://dx.doi.org/10.21686/1818-4243-2021-6-45-52.
Texte intégralSchmidt, A., C. Kruse, F. Rottensteiner, U. Soergel et C. Heipke. « NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (10 juin 2016) : 701–8. http://dx.doi.org/10.5194/isprs-archives-xli-b3-701-2016.
Texte intégralSchmidt, A., C. Kruse, F. Rottensteiner, U. Soergel et C. Heipke. « NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (10 juin 2016) : 701–8. http://dx.doi.org/10.5194/isprsarchives-xli-b3-701-2016.
Texte intégralValdez, Jose W., Kaya Klop-Toker, Michelle P. Stockwell, Loren Fardell, Simon Clulow, John Clulow et Michael J. Mahony. « Differences in microhabitat selection patterns between a remnant and constructed landscape following management intervention ». Wildlife Research 44, no 3 (2017) : 248. http://dx.doi.org/10.1071/wr16172.
Texte intégralYang, Ling, Nathan L. Knight, Yong Li et Chris Rizos. « Optimal Fault Detection and Exclusion Applied in GNSS Positioning ». Journal of Navigation 66, no 5 (17 mai 2013) : 683–700. http://dx.doi.org/10.1017/s0373463313000155.
Texte intégralLubis, Arif Ridho, Santi Prayudani, Muharman Lubis et Al Khowarizmi. « Decision Making in the Tea Leaves Diseases Detection Using Mamdani Fuzzy Inference Method ». Indonesian Journal of Electrical Engineering and Computer Science 12, no 3 (1 décembre 2018) : 1273. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1273-1281.
Texte intégralEl Jarroudi, Moussa, Louis Kouadio, Clive H. Bock, Mustapha El Jarroudi, Jürgen Junk, Matias Pasquali, Henri Maraite et Philippe Delfosse. « A Threshold-Based Weather Model for Predicting Stripe Rust Infection in Winter Wheat ». Plant Disease 101, no 5 (mai 2017) : 693–703. http://dx.doi.org/10.1094/pdis-12-16-1766-re.
Texte intégralThèses sur le sujet "The Optimum Detection Probabilities"
CHALAN, BYRON PAUL MAZA. « OPTIMUM GROUP DETECTION IN BLOCK TRANSMISSION SYSTEMS ». PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=20529@1.
Texte intégralCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Os sistemas de transmissão em bloco, permitem a transmissão de N símbolos de forma simultânea, seja em modulação de portadora única ou multiportadora. A recepção ótima, no sentido de máxima verossimilhança em canais com multipercursos apresenta um custo computacional elevado de AN, onde A é a ordem da constelação (A igual a 2 para BPSK). Para evitar este alto custo computacional é usual fazer a detecção símbolo a símbolo após a equalização. Nesta dissertação é proposto um receptor com detecção por grupos que apresenta uma complexidade intermediária entre o receptor ótimo e os receptores que utilizam detecção símbolo-a-símbolo em sistemas com transmissão em blocos. O tipo de estrutura idealizada agrupa as componentes do bloco equalizado em grupos e realiza detecção conjunta ótima dos símbolos em cada grupo. Com relação possíveis estratégias de agrupamento foram propostos três métodos, o primeiro método faz uma busca exaustiva pelo agrupamento ótimo e tem como consequência um custo computacional elevado para um número grande de símbolos por bloco. Na procura por algoritmos que evitem uma busca exaustiva pelo agrupamento ótimo, mas que resultem em bons ganhos de desempenho, e a sua aplicação em sistemas com um número elevado de símbolos por bloco, foram propostos dois métodos de agrupamento sub-ótimos e eficientes, cujos receptores apresentaram ganhos de desempenho apreciáveis quando comparados ao receptor convencional.
Block transmission systems allow transmissions of N symbols simultaneously, with single carrier or multi-carrier modulation. Maximum likelihood optimal reception in multipath channels have a high computational cost of AN, where A is the constellation order (A iqual 2 for BPSK). To avoid this cost is usual to make symbol-by-symbol detection after equalization. In this work we propose a receiver with group detection that has a good tradeof between computation complexity and bit error rate performance. The idealized structure groups the components of the equalized block in sub-blocks and does optimal joint detection of the symbols in each sub-block. With relation to possible grouping strategies three methods were proposed. The first one searchs for an optimal grouping and has, as a consequence, a high computational cost for block with a large number of symbols. Sub-optimal efficient algorithms that avoid the exhaustive search for the optimal grouping but show good performance gains and feasible application in systems with large number of symbols per block were proposed. The resulted receivers achieved substantial performance gain in comparison with the conventional symbol-by-symbol receiver.
Williams, Branson D. « Estimating Detection Probabilities in Beach Seine Surveys for Estuarine Fishes ». W&M ScholarWorks, 2010. https://scholarworks.wm.edu/etd/1539617892.
Texte intégralBailey, Larissa Lynn. « Estimating detection probabilities for terrestrial salamanders in Great Smoky Mountains National Park ». Connect to this title online, 2002. http://www.lib.ncsu.edu/theses/available/etd-08022002-111548/unrestricted/etd.pdf.
Texte intégralChi, Ying. « Calculating posterior probabilities for EM induction landmine detection using MCMC with thermodynamic integration / ». Full text available from ProQuest UM Digital Dissertations, 2005. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?RQT=305&querySyntax=PQ&searchInterface=1&moreOptState=CLOSED&TS=1184862704&h_pubtitle=&h_pmid=&clientId=22256&JSEnabled=1&SQ=chi%2C+ying&DBId=21651&date=ALL&onDate=&beforeDate=&afterDate=&fromDate=&toDate=&TITLE=&author=&SCH=&subject=&LA=any&MTYPE=all&sortby=REVERSE_CHRON&x=0&y=0.
Texte intégralTerletzky, Patricia A. « Utilizing Remote Sensing and Geospatial Techniques to Determine Detection Probabilities of Large Mammals ». DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1760.
Texte intégralSullivan, Michael R. « Leak detection in gas transmission pipelines ». Thesis, Curtin University, 2003. http://hdl.handle.net/20.500.11937/881.
Texte intégralTidström, Lina. « Estimation of Probabilities of Detection for Cracks in Pipes in Swedish Nuclear Power Plants ». Thesis, Uppsala University, Department of Mathematics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121427.
Texte intégralOymak, Okan. « Sample size determination for estimation of sensor detection probabilities based on a test variable ». Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FOymak.pdf.
Texte intégralThesis Advisor(s): Lyn R. Whitaker. "June 2007." Includes bibliographical references (p. 95-96). Also available in print.
Uriarte, Toboso Alain. « Optimum Ordering for Coded V-BLAST ». Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23509.
Texte intégralSullivan, Michael R. « Leak detection in gas transmission pipelines ». Curtin University of Technology, School of Engineering, 2003. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=15189.
Texte intégralIt was clear early into the investigation that the majority of the errors within the leak detection model were created by random errors from the input field data. These non-systematic errors from the measurement data that included pressure and temperature, produced interference with model output. This interference resembled random “white” noise that was removed by a combination of well established data filtering techniques. The most appropriate process of calculating leak detection flow was determined after analysing the results of different techniques applied to large quantities of actual pipeline operating data. The validation of the on-line techniques developed provides a valuable resource for those wishing to implement similar leak detection schemes elsewhere. Furthermore a software environment was chosen which incorporated an open input and output platform for data that could be interfaced with any operating system. Therefore these techniques can be applied to the numerous Supervisory Control and Data Acquisition (SCADA) systems in operation throughout the gas transmission industry, to provide a low cost solution to leak monitoring.
Livres sur le sujet "The Optimum Detection Probabilities"
Forrest, R. N. A program to compute magnetic anomaly detection probabilities. Monterey, Calif : Naval Postgraduate School, 1988.
Trouver le texte intégralForrest, R. N. A program to compute electric anomaly detection probabilities. Monterey, Calif : Naval Postgraduate School, 1988.
Trouver le texte intégralForrest, R. N. A program to compute magnetic anomaly detection probabilities. 2e éd. Monterey, Calif : Naval Postgraduate School, 1990.
Trouver le texte intégralTrees, Harry L. Van. Detection, Estimation, and Modulation Theory, Optimum Array Processing, Part IV. New York : John Wiley & Sons, Ltd., 2005.
Trouver le texte intégralDivsalar, Dariush. Multiple symbol differential detection of uncoded and trellis coded MPSK. Pasadena, Calif : National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.
Trouver le texte intégralFesta, Roberto. Optimum inductive methods : A study in inductive probability, Bayesian statistics, and verisimilitude. Dordrecht : Kluwer Academic Publishers, 1993.
Trouver le texte intégralTrees, Harry L. Van. Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV). Wiley-Interscience, 2002.
Trouver le texte intégralTrees, Harry L. Van. Optimum Array Processing : Part IV of Detection, Estimation, and Modulation Theory. Wiley & Sons, Limited, John, 2002.
Trouver le texte intégralTrees, Harry L. Van. Optimum Array Processing : Part IV of Detection, Estimation, and Modulation Theory. Wiley & Sons, Incorporated, John, 2008.
Trouver le texte intégralFesta, R. Optimum Inductive Methods : A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude. Springer, 2010.
Trouver le texte intégralChapitres de livres sur le sujet "The Optimum Detection Probabilities"
Festa, Roberto. « The Theory of Inductive Probabilities : Basic Features and Applications ». Dans Optimum Inductive Methods, 13–19. Dordrecht : Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8131-8_2.
Texte intégralFesta, Roberto. « The Choice of Prior Probabilities : The Subjective, Aprioristic, and Contextual Approaches ». Dans Optimum Inductive Methods, 75–102. Dordrecht : Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8131-8_7.
Texte intégralHauser, C. E., G. E. Garrard et J. L. Moore. « Estimating detection rates and probabilities. » Dans Biosecurity surveillance : quantitative approaches, 151–66. Wallingford : CABI, 2015. http://dx.doi.org/10.1079/9781780643595.0151.
Texte intégralSong, Iickho, Jinsoo Bae et Sun Yong Kim. « Locally Optimum Detection of Known Signals ». Dans Advanced Theory of Signal Detection, 59–84. Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04859-7_2.
Texte intégralSong, Iickho, Jinsoo Bae et Sun Yong Kim. « Locally Optimum Detection of Random Signals ». Dans Advanced Theory of Signal Detection, 85–121. Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04859-7_3.
Texte intégralSong, Iickho, Jinsoo Bae et Sun Yong Kim. « Locally Optimum Detection of Composite Signals ». Dans Advanced Theory of Signal Detection, 123–83. Berlin, Heidelberg : Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04859-7_4.
Texte intégralKassam, Saleem A. « Optimum Data Quantization in Signal Detection ». Dans Communications and Networks, 72–110. New York, NY : Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4904-7_5.
Texte intégralSlobodinskaia, T. V. « The detection probabilities in simultaneous pursuit games ». Dans System Modelling and Optimization, 521–26. Berlin, Heidelberg : Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0035501.
Texte intégralSasaki, Masahide, et Osamu Hirota. « Unitary Control Process for Quantum Optimum Detection ». Dans Quantum Communication, Computing, and Measurement, 269–77. Boston, MA : Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5923-8_29.
Texte intégralMomose, R., M. Sasaki et O. Hirota. « Physical Interpretation of Optimum Quantum Detection Operators ». Dans Quantum Communication, Computing, and Measurement, 289–97. Boston, MA : Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5923-8_31.
Texte intégralActes de conférences sur le sujet "The Optimum Detection Probabilities"
Flynn, Eric, et Michael Todd. « Optimal Sensor Placement for Active Sensing ». Dans ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-439.
Texte intégralSiewert, Christoph, Rudie P. J. Kunnen, Matthias Meinke et Wolfgang Schröder. « On the Collision Detection for Ellipsoidal Particles in Turbulence ». Dans ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-21982.
Texte intégralBuermann, Jan, et Jie Zhang. « Multi-Robot Adversarial Patrolling Strategies via Lattice Paths ». Dans Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California : International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/582.
Texte intégralSchwall, Matthew L., et J. Christian Gerdes. « Automotive Diagnostic Decisions Using Probabilistic Information ». Dans ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82169.
Texte intégralLillicrap, D., A. R. Giles, J. J. A. Holden et B. N. White. « THE RELATIVE EFFICACY OF GENETIC ANALYSIS AND COAGULATION TESTING IN THE DIAGNOSIS OF CARRIERS OF HEMOPHILIA A ». Dans XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644010.
Texte intégralGoldstein, Adam, et B. Keith Jenkins. « Optical probability density function estimation for real-time pattern classification ». Dans OSA Annual Meeting. Washington, D.C. : Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thq3.
Texte intégralMoritz, Timo, Marc Baumeister et Thomas Beuker. « Utilization of a Probabilistic Function to Describe the Performance of In-Line Crack Inspection Systems and a Possible Application in Hydrogen Service ». Dans 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87668.
Texte intégralRyan, D. J., I. V. L. Clarkson et I. B. Collings. « Detection error probabilities in noncoherent channels ». Dans Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. IEEE, 2005. http://dx.doi.org/10.1109/isit.2005.1523409.
Texte intégralKastella, Keith D. « Joint multitarget probabilities for detection and tracking ». Dans AeroSense '97, sous la direction de Michael K. Masten et Larry A. Stockum. SPIE, 1997. http://dx.doi.org/10.1117/12.277194.
Texte intégralBahnsen, Alejandro Correa, Aleksandar Stojanovic, Djamila Aouada et Björn Ottersten. « Improving Credit Card Fraud Detection with Calibrated Probabilities ». Dans Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA : Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.78.
Texte intégralRapports d'organisations sur le sujet "The Optimum Detection Probabilities"
Ucci, Donald R., William E. Jacklin et Myron R. Mychal. Robust Locally Optimum Detection. Fort Belvoir, VA : Defense Technical Information Center, juillet 1996. http://dx.doi.org/10.21236/ada314854.
Texte intégralForrest, R. N. A Program to Compute Electric Anomaly Detection Probabilities. Fort Belvoir, VA : Defense Technical Information Center, octobre 1988. http://dx.doi.org/10.21236/ada201034.
Texte intégralMychal, Myron R., et Donald R. Ucci. Robust Locally Optimum Detection in Auto-Regressive Noise. Fort Belvoir, VA : Defense Technical Information Center, août 1999. http://dx.doi.org/10.21236/ada369115.
Texte intégralHill, S. C. Modeling single molecule detection probabilities in microdroplets. Final report. Office of Scientific and Technical Information (OSTI), mai 1997. http://dx.doi.org/10.2172/491483.
Texte intégralHill, S. C. Modeling single molecule detection probabilities in microdroplets. Final report. Office of Scientific and Technical Information (OSTI), mars 1996. http://dx.doi.org/10.2172/206995.
Texte intégralTardiff, Mark F., Stephen J. Walsh, Kevin K. Anderson et Lawrence Chilton. Predicting detection probabilities for gas mixtures over HSI backgrounds. Office of Scientific and Technical Information (OSTI), décembre 2009. http://dx.doi.org/10.2172/1000179.
Texte intégralForrest, R. N. A Program to Compute Magnetic Anomaly Detection Probabilities. Revision 2. Fort Belvoir, VA : Defense Technical Information Center, mars 1990. http://dx.doi.org/10.21236/ada225427.
Texte intégralPeterson, James T. On the Estimation of Detection Probabilities for Sampling Stream-Dwelling Fishes. Office of Scientific and Technical Information (OSTI), novembre 1999. http://dx.doi.org/10.2172/783958.
Texte intégralSheen, David M., et Pam M. Aker. Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy. Office of Scientific and Technical Information (OSTI), septembre 2007. http://dx.doi.org/10.2172/1074333.
Texte intégralGazze, Chris, Sukesh Aghara, Ian Bleeker, Lohith Annadevula, Ahmad Nofal, Logan Joyce, James Porcello, Katherine Bachner et Jose Gomera. Stochastic Approaches for Calculating and Aggregating Detection Probabilities for Nuclear Material Diversion. Office of Scientific and Technical Information (OSTI), août 2019. http://dx.doi.org/10.2172/1561261.
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