Literatura académica sobre el tema "Detection and estimation theory"
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Artículos de revistas sobre el tema "Detection and estimation theory"
Noam, Yair y Joseph Tabrikian. "Marginal Likelihood for Estimation and Detection Theory". IEEE Transactions on Signal Processing 55, n.º 8 (agosto de 2007): 3963–74. http://dx.doi.org/10.1109/tsp.2007.894411.
Texto completoBaggeroer, Arthur B. "Inverse methods and detection and estimation theory". Journal of the Acoustical Society of America 89, n.º 4B (abril de 1991): 1873. http://dx.doi.org/10.1121/1.2029337.
Texto completoWang, Feng, Mei Quan Liu y Jiang Wei Fan. "The Performance Correlation Hilbert Time-Delay Estimation for Passive Detection". Applied Mechanics and Materials 602-605 (agosto de 2014): 1768–71. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1768.
Texto completoBaggeroer, A. B., W. A. Kuperman y H. Schmidt. "Matched field processing: A detection and estimation theory overview". Journal of the Acoustical Society of America 81, S1 (mayo de 1987): S63. http://dx.doi.org/10.1121/1.2024326.
Texto completoWu, Qiuyuan, Jiping Qiao y Jinmian Wang. "Data anomaly detection based on improved kernel density estimation". Journal of Physics: Conference Series 2290, n.º 1 (1 de junio de 2022): 012111. http://dx.doi.org/10.1088/1742-6596/2290/1/012111.
Texto completoWang, Lujun y Zhaoning Zheng. "Joint detection and estimation theory in underwater acoustics signal processing". Acoustical Science and Technology 25, n.º 1 (2004): 70–72. http://dx.doi.org/10.1250/ast.25.70.
Texto completoFonollosa, Jordi, Alexander Vergara, Ramón Huerta y Santiago Marco. "Estimation of the limit of detection using information theory measures". Analytica Chimica Acta 810 (enero de 2014): 1–9. http://dx.doi.org/10.1016/j.aca.2013.10.030.
Texto completoHe, Xing, Lei Chu, Robert Caiming Qiu, Qian Ai, Zenan Ling y Jian Zhang. "Invisible Units Detection and Estimation Based on Random Matrix Theory". IEEE Transactions on Power Systems 35, n.º 3 (mayo de 2020): 1846–55. http://dx.doi.org/10.1109/tpwrs.2019.2935739.
Texto completoFukuhara, Hirotaka y Akihito Kamata. "A Bifactor Multidimensional Item Response Theory Model for Differential Item Functioning Analysis on Testlet-Based Items". Applied Psychological Measurement 35, n.º 8 (noviembre de 2011): 604–22. http://dx.doi.org/10.1177/0146621611428447.
Texto completoDehling, H., R. Fried y M. Wendler. "A robust method for shift detection in time series". Biometrika 107, n.º 3 (14 de marzo de 2020): 647–60. http://dx.doi.org/10.1093/biomet/asaa004.
Texto completoTesis sobre el tema "Detection and estimation theory"
Feinstein, Jonathan S. "Detection controlled estimation : theory and applications". Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14868.
Texto completoWright, George Alfred Jr. "Nonparameter density estimation and its application in communication theory". Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/14979.
Texto completoWarner, Carl Michael 1952. "ESTIMATION OF NONSTATIONARY SIGNALS IN NOISE (PROCESSING, ADAPTIVE, WIENER FILTERS, ESTIMATION, DIGITAL)". Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291297.
Texto completoMcElwain, Thomas P. "L-estimators used in CFAR detection". Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/29199.
Texto completoLeong, Alex Seak Chon. "Performance of estimation and detection algorithms in wireless networks". Connect to thesis, 2007. http://repository.unimelb.edu.au/10187/2229.
Texto completoWe first look at the hidden Markov model (HMM) filter with random measurement losses. The loss process is governed by another Markov chain. In the two-state case we derive analytical expressions to compute the probability of error. In the multi-state case we derive approximations that are valid at high signal-to-noise ratio (SNR). Relationships between the error probability and parameters of the loss process are investigated.
We then consider the problem of detecting two-state Markov chains in noise, under the Neyman-Pearson formulation. Our measure of performance here is the error exponent, and we give methods for computing this, firstly when channels are time-invariant, and then for time-varying fading channels. We also characterize the behaviour of the error exponent at high SNR.
We will look at the fixed lag Kalman smoother with random measurement losses. We investigate both the notion of estimator stability via expectation of the error covariance, and a probabilistic constraint on the error covariance. A comparison with the Kalman filter where lost measurements are retransmitted is made.
Finally we consider the distributed estimation of scalar linear systems using multiple sensors under the analog forwarding scheme. We study the asymptotic behaviour of the steady state error covariance as the number of sensors increases. We formulate optimization problems to minimize the sum power subject to error covariance constraints, and to minimize the error covariance subject to sum power constraints. We compare between the performance of multi-access and orthogonal access schemes, and for fading channels the effects of various levels of channel state information (CSI).
Yang, Zaiyue. "Fault detection, estimation and control of periodically excited nonlinear systems". Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40887984.
Texto completoYang, Zaiyue y 楊再躍. "Fault detection, estimation and control of periodically excited nonlinear systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40887984.
Texto completoXu, Cuichun. "Statistical processing on radar, sonar, and optical signals /". View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3328735.
Texto completoLu, Jingyang. "Resilient dynamic state estimation in the presence of false information injection attacks". VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4644.
Texto completoLing, Tao. "High resolution gamma detector for small-animal positron emission tomography /". Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9751.
Texto completoLibros sobre el tema "Detection and estimation theory"
1945-, Papantoni-Kazakos P., ed. Detection and estimation. New York: Computer Science Press, 1990.
Buscar texto completoDetection, estimation, and modulation theory. New York: Wiley, 2001.
Buscar texto completoDetection, estimation, and modulation theory. New York: Wiley-Interscience, 2002.
Buscar texto completoDetection, estimation, and modulation theory. New York: Wiley, 2001.
Buscar texto completoTrees, Harry L. Van. Detection, estimation, and modulation theory. Hoboken, N.J: Wiley, 2003.
Buscar texto completoDetection, estimation, and modulation theory. Malabar, Fla: Krieger Pub. Co., 1992.
Buscar texto completoSignal detection and estimation. 2a ed. Boston: Artech House, 2005.
Buscar texto completoBarkat, Mourad. Signal detection and estimation. Boston: Artech House, 1991.
Buscar texto completoPoor, H. Vincent. An introduction to signal detection and estimation. New York: Springer-Verlag, 1988.
Buscar texto completoAn introduction to signal detection and estimation. 2a ed. New York: Springer-Verlag, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Detection and estimation theory"
Levy, Bernard C. "Parameter Estimation Theory". En Principles of Signal Detection and Parameter Estimation, 1–56. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76544-0_4.
Texto completoHautus, Michael J., Neil A. Macmillan y C. Douglas Creelman. "Adaptive Methods for Estimating Empirical Thresholds". En Detection Theory, 253–79. 3a ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003203636-14.
Texto completoD’ariano, G. M. "Quantum Estimation Theory and Optical Detection". En Quantum Optics and the Spectroscopy of Solids, 139–74. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8796-9_8.
Texto completoGopi, E. S. "Detection Theory and Estimation Theory for Wireless Communication". En Digital Signal Processing for Wireless Communication using Matlab, 51–101. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20651-6_2.
Texto completoGopi, E. S. "Detection Theory and Estimation Theory for Wireless Communication". En Digital Signal Processing for Wireless Communication using Matlab, 93–139. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82036-7_3.
Texto completoLi, Qihu. "Detection and Estimation Theory of Digital Signals". En Advanced Topics in Science and Technology in China, 81–149. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-18290-7_3.
Texto completoGiua, Alessandro. "State Estimation and Fault Detection Using Petri Nets". En Applications and Theory of Petri Nets, 38–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21834-7_3.
Texto completoHuang, Y. F. "Series Expansions in Statistical Theory of Detection and Estimation". En Communications and Networks, 47–71. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4904-7_4.
Texto completoScott, D. W. "Partial Mixture Estimation and Outlier Detection in Data and Regression". En Theory and Applications of Recent Robust Methods, 297–306. Basel: Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7958-3_26.
Texto completoMadhu Chandra, G. y G. M. Sreeramareddy. "Simple Modeling of Mobile Foreground Detection Using Probabilistic Linear Estimation Approach". En Intelligent Systems in Cybernetics and Automation Control Theory, 58–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00184-1_6.
Texto completoActas de conferencias sobre el tema "Detection and estimation theory"
Baygun, B. y A. O. Hero. "An order selection criterion via simultaneous estimation/detection theory". En Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205568.
Texto completo"Sessions: detection and estimation". En 1988 IEEE International Symposium on Information Theory. IEEE, 1988. http://dx.doi.org/10.1109/isit.1988.22235.
Texto completoMoustakides, George V. "Optimum joint detection and estimation". En 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6034125.
Texto completoVANNUCCI, ARMANDO y MARIA GABRIELLA DI BENEDETTO. "SIGNAL PROCESSING: ELEMENTS OF DETECTION AND ESTIMATION THEORY". En Proceedings of the International Summer School. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812792846_0015.
Texto completoGrossi, Emanuele y Marco Lops. "Joint sequential detection and estimation of Markov targets". En 2008 IEEE Information Theory Workshop (ITW). IEEE, 2008. http://dx.doi.org/10.1109/itw.2008.4578675.
Texto completoReid, Aaron B. "Blind constellation estimation and detection using cluster analysis". En 2011 Australian Communications Theory Workshop (AusCTW). IEEE, 2011. http://dx.doi.org/10.1109/ausctw.2011.5728758.
Texto completoAmleh, Khaled y Hongbin Li. "Channel Estimation and Detection for Single Carrier Systems". En 2009 Australian Communications Theory Workshop (AusCTW). IEEE, 2009. http://dx.doi.org/10.1109/ausctw.2009.4805597.
Texto completoSuzuki, Joe. "Mutual Information Estimation: Independence Detection and Consistency". En 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849612.
Texto completoDentamaro, Vincenzo, Donato Impedovo y Giuseppe Pirlo. "Fall Detection by Human Pose Estimation and Kinematic Theory". En 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413331.
Texto completo"CORE POINT DETECTION USING FINE ORIENTATION FIELD ESTIMATION". En International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001089503510356.
Texto completoInformes sobre el tema "Detection and estimation theory"
Duncan, Victoria Stephanie. Radiation Detection Theory. Office of Scientific and Technical Information (OSTI), abril de 2019. http://dx.doi.org/10.2172/1505948.
Texto completoBar-Shalom, Y. y K. R. Pattipati. Estimation with Multisensor/Multiscan Detection Fusion. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1992. http://dx.doi.org/10.21236/ada250496.
Texto completoSantosa, Fadil. Estimation With Multisensor/Multiscan Detection Fusion. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1993. http://dx.doi.org/10.21236/ada265673.
Texto completoChow, Winston C. Estimation Theory with Fractional Gaussian Noise. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1995. http://dx.doi.org/10.21236/ada301443.
Texto completoKailath, Thomas. Studies in Estimation Theory, Applications and Implementations. Fort Belvoir, VA: Defense Technical Information Center, junio de 1989. http://dx.doi.org/10.21236/ada210712.
Texto completoKailath, Thomas. Studies in Estimation Theory, Applications and Implementation. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1992. http://dx.doi.org/10.21236/ada256964.
Texto completoHelpman, Elhanan, Oleg Itskhoki, Marc-Andreas Muendler y Stephen Redding. Trade and Inequality: From Theory to Estimation. Cambridge, MA: National Bureau of Economic Research, abril de 2012. http://dx.doi.org/10.3386/w17991.
Texto completoVarshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1999. http://dx.doi.org/10.21236/ada374837.
Texto completoVarshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1994. http://dx.doi.org/10.21236/ada280410.
Texto completoVarshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, julio de 1995. http://dx.doi.org/10.21236/ada301116.
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