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Статті в журналах з теми "Markov noise"
Novak, Stephanie, and Lyman J. Fretwell. "Non‐Markov noise processes." Journal of the Acoustical Society of America 80, S1 (December 1986): S64. http://dx.doi.org/10.1121/1.2023904.
Повний текст джерелаKinge, Sanjaykumar, B. Sheela Rani, and Mukul Sutaone. "Restored texture segmentation using Markov random fields." Mathematical Biosciences and Engineering 20, no. 6 (2023): 10063–89. http://dx.doi.org/10.3934/mbe.2023442.
Повний текст джерелаZhou, Xiaozhen, Shanping Li, and Zhen Ye. "A Novel System Anomaly Prediction System Based on Belief Markov Model and Ensemble Classification." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/179390.
Повний текст джерелаSanches, I. "Noise-compensated hidden Markov models." IEEE Transactions on Speech and Audio Processing 8, no. 5 (2000): 533–40. http://dx.doi.org/10.1109/89.861372.
Повний текст джерелаChyan, Phie, and N. Tri Saptadi. "Pemulihan Citra Berbasis Metode Markov Random Field." JURIKOM (Jurnal Riset Komputer) 9, no. 2 (April 29, 2022): 218. http://dx.doi.org/10.30865/jurikom.v9i2.3966.
Повний текст джерелаKorolkiewicz, Małgorzata Wiktoria. "A Dependent Hidden Markov Model of Credit Quality." International Journal of Stochastic Analysis 2012 (August 13, 2012): 1–13. http://dx.doi.org/10.1155/2012/719237.
Повний текст джерелаBORDONE, PAOLO, FABRIZIO BUSCEMI, and CLAUDIA BENEDETTI. "EFFECT OF MARKOV AND NON-MARKOV CLASSICAL NOISE ON ENTANGLEMENT DYNAMICS." Fluctuation and Noise Letters 11, no. 03 (September 2012): 1242003. http://dx.doi.org/10.1142/s0219477512420035.
Повний текст джерелаBorkar, Vivek S. "Stochastic approximation with ‘controlled Markov’ noise." Systems & Control Letters 55, no. 2 (February 2006): 139–45. http://dx.doi.org/10.1016/j.sysconle.2005.06.005.
Повний текст джерелаGodtliebsen, Fred. "Noise reduction using markov random fields." Journal of Magnetic Resonance (1969) 92, no. 1 (March 1991): 102–14. http://dx.doi.org/10.1016/0022-2364(91)90251-n.
Повний текст джерелаAlajaji, F., N. Phamdo, N. Farvardin, and T. E. Fuja. "Detection of binary Markov sources over channels with additive Markov noise." IEEE Transactions on Information Theory 42, no. 1 (1996): 230–39. http://dx.doi.org/10.1109/18.481793.
Повний текст джерелаДисертації з теми "Markov noise"
Beattie, Valerie L. "Hidden Markov Model state-based noise compensation." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259519.
Повний текст джерелаBai, Jiongjun. "Adaptive hidden Markov noise modelling for speech enhancement." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11158.
Повний текст джерелаGales, Mark John Francis. "Model-based techniques for noise robust speech recognition." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319311.
Повний текст джерелаParanchych, David W. "Markov modelling of digital symbol synchronizers in noise and interference." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq20576.pdf.
Повний текст джерелаWhalen, Nicholas J. "The capacity-cost function of channels with additive Markov noise." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0028/MQ31270.pdf.
Повний текст джерелаSkeen, Matthew E. (Matthew Edward). "Maximum likelihood estimation of fractional Brownian motion and Markov noise parameters." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/42527.
Повний текст джерелаCALVIA, ALESSANDRO. "Optimal control of pure jump Markov processes with noise-free partial observation." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199013.
Повний текст джерелаThis thesis is concerned with an infinite horizon optimal control problem for a pure jump Markov process with noise-free partial observation. We are given a pair of stochastic processes, named unobserved or signal process and observed or data process. The signal process is a continuous-time pure jump Markov process, taking values in a complete and separable metric space, whose controlled rate transition measure is known. The observed process takes values in another complete and separable metric space and is of noise-free type. With this we mean that its values at each time t are given as a function of the corresponding values at time t of the unobserved process. We assume that this function is a deterministic and, without loss of generality, surjective map between the state spaces of the signal and data processes. The aim is to control the dynamics of the unobserved process, i.e. its controlled rate transition measure, through a control process, taking values in the set of Borel probability measures on a compact metric space, named set of control actions. We take as admissible controls for our problem all the processes of this kind that are also predictable with respect to the natural filtration of the data process. The control process is chosen in this class to minimize a discounted cost functional on infinite time horizon. The infimum of this cost functional among all admissible controls is the value function. In order to study the value function a preliminary step is required. We need to recast our optimal control problem with partial observation into a problem with complete observation. This is done studying the filtering process, a measure-valued stochastic process providing at each time t the conditional law of the unobserved process given the available observations up to time t (represented by the natural filtration of the data process at time t). We show that the filtering process satisfies an explicit stochastic differential equation and we characterize it as a Piecewise Deterministic Markov Process, in the sense of Davis. To treat the filtering process as a state variable, we study a separated optimal control problem. We introduce it as a discrete-time one and we show that it is equivalent to the original one, i.e. their respective value functions are linked by an explicit formula. We also show that admissible controls of the original problem and admissible policies of the separated one have a specific structure and there is a precise relationship between them. Next, we characterize the value function of the separated control problem (hence, indirectly, the value function of the original control problem) as the unique fixed point of a contraction mapping, acting from the space of bounded continuous function on the state space of the filtering process into itself. Therefore, we prove that the value function is bounded and continuous. The special case of a signal process given by a finite-state Markov chain is also studied. In this setting, we show that the value function of the separated control problem is uniformly continuous on the state space of the filtering process and that it is the unique constrained viscosity solution (in the sense of Soner) of a Hamilton-Jacobi-Bellman equation. We also prove that an optimal ordinary control exists, i.e. a control process taking values in the set of control actions, and that this process is a piecewise open-loop control in the sense of Vermes.
Kuckländer, Nina. "Synchronization via correlated noise and automatic control in ecological systems." Phd thesis, Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2006/1082/.
Повний текст джерелаThe first part is motivated by field studies on feral sheep populations on two islands of the St. Kilda archipelago, which revealed strong correlations due to environmental noise. For a linear system the population correlation equals the noise correlation (Moran effect). But there exists no systematic examination of the properties of nonlinear maps under the influence of correlated noise. Therefore, in the first part of this thesis the noise-induced correlation of logistic maps is systematically examined. For small noise intensities it can be shown analytically that the correlation of quadratic maps in the fixed-point regime is always smaller than or equal to the noise correlation. In the period-2 regime a Markov model explains qualitatively the main dynamical characteristics. Furthermore, two different mechanisms are introduced which lead to a higher correlation of the systems than the environmental correlation. The new effect of "correlation resonance" is described, i. e. the correlation yields a maximum depending on the noise intensity.
In the second part of the thesis an automatic control method is presented which synchronizes different systems in a robust way. This method is inspired by phase-locked loops and is based on a feedback loop with a differential control scheme, which allows to change the phases of the controlled systems. The effectiveness of the approach is demonstrated for controlled phase synchronization of regular oscillators and foodweb models.
Gegenstand der Arbeit ist die Möglichkeit der Synchronisierung von nichtlinearen Systemen durch korreliertes Rauschen und automatische Kontrolle. Die Arbeit gliedert sich in zwei Teile.
Der erste Teil ist motiviert durch Feldstudien an wilden Schafspopulationen auf zwei Inseln des St. Kilda Archipels, die starke Korrelationen aufgrund von Umwelteinflüssen zeigen. In einem linearen System entspricht die Korrelation der beiden Populationen genau der Rauschkorrelation (Moran-Effekt). Es existiert aber noch keine systematische Untersuchung des Verhaltens nichtlinearer Abbildungen unter dem Einfluss korrelierten Rauschens. Deshalb wird im ersten Teils dieser Arbeit systematisch die rauschinduzierte Korrelation zweier logistischer Abbildungen in den verschiedenen dynamischen Bereichen untersucht. Für kleine Rauschintensitäten wird analytisch gezeigt, dass die Korrelation von quadratischen Abbildungen im Fixpunktbereich immer kleiner oder gleich der Rauschkorrelation ist. Im Periode-2 Bereich beschreibt ein Markov-Modell qualitativ die wichtigsten dynamischen Eigenschaften. Weiterhin werden zwei unterschiedliche Mechanismen vorgestellt, die dazu führen, dass die beiden ungekoppelten Systeme stärker als ihre Umwelt korreliert sein können. Dabei wird der neue Effekt der "correlation resonance" aufgezeigt, d. h. es ergibt sich eine Resonanzkurve der Korrelation in Abbhängkeit von der Rauschstärke.
Im zweiten Teil der Arbeit wird eine automatische Kontroll-Methode präsentiert, die es ermöglicht sehr unterschiedliche Systeme auf robuste Weise in Phase zu synchronisieren. Die Methode ist angelehnt an Phase-locked-Loops und basiert auf einer Rückkopplungsschleife durch einen speziellen Regler, der es erlaubt die Phasen der kontrollierten Systeme zu ändern. Die Effektivität dieser Methode zur Kontrolle der Phasensynchronisierung wird an regulären Oszillatoren und an Nahrungskettenmodellen demonstriert.
Bennett, Casey. "Channel Noise and Firing Irregularity in Hybrid Markov Models of the Morris-Lecar Neuron." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1441551744.
Повний текст джерелаSetiawan, Panji. "Exploration and optimization of noise reduction algorithms for speech recognition in embedded devices /." Aachen : Shaker, 2009. http://d-nb.info/99453583X/04.
Повний текст джерелаКниги з теми "Markov noise"
Walsh, John Leclerc. Extraction of single channel current from correlated noise via a hidden Markov model. [s.l: s.n.], 1992.
Знайти повний текст джерелаHerrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. Providence, Rhode Island: American Mathematical Society, 2014.
Знайти повний текст джерелаMiller, Richard Kendall. Survey on industrial noise control markets. Madison, GA: Future Technology Surveys, 1989.
Знайти повний текст джерелаRoberts, Mark J. Output price and markup dispersion in micro data: The roles of producer heterogeneity and noise. Cambridge, MA: National Bureau of Economic Research, 1997.
Знайти повний текст джерелаd', Almeida-Topor Hélène, Lakroum Monique 1953-, Spittler Gerd 1939-, Centre de recherches africaines (Paris, France), and Universität Bayreuth, eds. Le travail en Afrique noire: Représentations et pratiques à l'époque contemporaine. Paris: Karthala, 2003.
Знайти повний текст джерелаWei, Shang-Jin. The big players in the foreign exchange market: Do they trade on information or noise? Cambridge, MA: National Bureau of Economic Research, 1997.
Знайти повний текст джерелаEmpirical studies of Nigeria's foreign exchange parallel market II: Speculative efficiency and noisy trading. Nairobi: African Economic Research Consortium, 1997.
Знайти повний текст джерелаMartin, Michael R. The inner voice of trading: Eliminate the noise, and profit from the strategies that are right for you. Upper Saddle River, N.J: FT Press, 2012.
Знайти повний текст джерелаCorporation, Market Intelligence Research, ed. Medical equipment markets for eye, ear, nose and throat applications: Niche opportunities prevail. Mountain View, CA: Market Intelligence Research Corp., 1990.
Знайти повний текст джерелаBarreiro, Santiago Francisco, and Luciana Mabel Cordo Russo, eds. Shapeshifters in Medieval North Atlantic Literature. NL Amsterdam: Amsterdam University Press, 2018. http://dx.doi.org/10.5117/9789462984479.
Повний текст джерелаЧастини книг з теми "Markov noise"
Gardiner, Crispin W. "Quantum Markov Processes." In Quantum Noise, 140–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-09642-0_5.
Повний текст джерелаGardiner, Crispin W., and Peter Zoller. "Quantum Markov Processes." In Quantum Noise, 130–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04103-1_5.
Повний текст джерелаLasota, Andrzej, and Michael C. Mackey. "Markov and Foias Operators." In Chaos, Fractals, and Noise, 393–447. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4286-4_12.
Повний текст джерелаLasota, Andrzej, and Michael C. Mackey. "Markov and Frobenius-Perron Operators." In Chaos, Fractals, and Noise, 37–50. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4286-4_3.
Повний текст джерелаVaseghi, Saeed V. "Hidden Markov Models." In Advanced Signal Processing and Digital Noise Reduction, 111–39. Wiesbaden: Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-92773-6_4.
Повний текст джерелаBudhiraja, Amarjit, and Paul Dupuis. "Recursive Markov Systems with Small Noise." In Analysis and Approximation of Rare Events, 79–117. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-9579-0_4.
Повний текст джерелаAbbas, Syed Mohsin, Marwan Jalaleddine, and Warren J. Gross. "Hardware Architecture for GRAND Markov Order (GRAND-MO)." In Guessing Random Additive Noise Decoding, 95–123. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31663-0_5.
Повний текст джерелаMaassen, Hans. "Quantum Markov Processes Driven by Bose Noise." In Fundamental Aspects of Quantum Theory, 125–31. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5221-1_13.
Повний текст джерелаJalen, Luka, and Rogemar S. Mamon. "Parameter Estimation in a Regime-Switching Model with Non-normal Noise." In Hidden Markov Models in Finance, 241–61. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7442-6_11.
Повний текст джерелаBelavkin, V. P. "Quantum Filtering of Markov Signals with White Quantum Noise." In Quantum Communications and Measurement, 381–91. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1391-3_37.
Повний текст джерелаТези доповідей конференцій з теми "Markov noise"
Pearce, Charles E. M. "Entropy, Markov information sources and Parrondo games." In Unsolved problems of noise and fluctuations. AIP, 2000. http://dx.doi.org/10.1063/1.59976.
Повний текст джерелаWhite, Langford B. "Tree indexed Markov processes and long range dependency." In Unsolved problems of noise and fluctuations. AIP, 2000. http://dx.doi.org/10.1063/1.59988.
Повний текст джерелаNewson, Paul, and John Krumm. "Hidden Markov map matching through noise and sparseness." In the 17th ACM SIGSPATIAL International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1653771.1653818.
Повний текст джерелаBeattie, V. L., and Steve J. Young. "Hidden Markov model state-based cepstral noise compensation." In 2nd International Conference on Spoken Language Processing (ICSLP 1992). ISCA: ISCA, 1992. http://dx.doi.org/10.21437/icslp.1992-171.
Повний текст джерелаProkopenko, I. G. "Nonparametric Algorithms For Detection Of Radar Markov Signals Against The Background Of Markov Noise." In 2020 21st International Radar Symposium (IRS). IEEE, 2020. http://dx.doi.org/10.23919/irs48640.2020.9253776.
Повний текст джерелаLapuyade-Lahorgue, Jérôme, and Wojciech Pieczynski. "Partially Markov models and unsupervised segmentation of semi-Markov chains hidden with long dependence noise." In Recent Advances in Stochastic Modeling and Data Analysis. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812709691_0029.
Повний текст джерелаMahmood, Ahmed, and Mandar Chitre. "Temporal analysis of stationary Markov a-sub-Gaussian noise." In OCEANS 2016 MTS/IEEE Monterey. IEEE, 2016. http://dx.doi.org/10.1109/oceans.2016.7761390.
Повний текст джерелаHaggag, Sherif, Shady Mohamed, Asim Bhatti, Hussein Haggag, and Saeid Nahavandi. "Noise level classification for EEG using Hidden Markov Models." In 2015 10th System of Systems Engineering Conference (SoSE). IEEE, 2015. http://dx.doi.org/10.1109/sysose.2015.7151974.
Повний текст джерелаMutschler, Christopher, and Michael Philippsen. "Learning event detection rules with noise hidden Markov models." In 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). IEEE, 2012. http://dx.doi.org/10.1109/ahs.2012.6268645.
Повний текст джерелаMirbadin, Anoush, Ehsan Kiani, Armando Vannucci, and Giulio Colavolpe. "Estimation of Gaussian Processes in Markov-Middleton Impulsive Noise." In 2019 1st Global Power, Energy and Communication Conference (GPECOM). IEEE, 2019. http://dx.doi.org/10.1109/gpecom.2019.8778579.
Повний текст джерелаЗвіти організацій з теми "Markov noise"
Jebrail, F. F., and R. S. Kistler. L51753 Natural Draft Aerial Coolers. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1996. http://dx.doi.org/10.55274/r0010422.
Повний текст джерелаAit-Sahalia, Yacine, and Jialin Yu. High Frequency Market Microstructure Noise Estimates and Liquidity Measures. Cambridge, MA: National Bureau of Economic Research, February 2008. http://dx.doi.org/10.3386/w13825.
Повний текст джерелаRoberts, Mark, and Dylan Supina. Output Price and Markup Dispersion in Micro Data: The Roles of Producer Heterogeneity and Noise. Cambridge, MA: National Bureau of Economic Research, June 1997. http://dx.doi.org/10.3386/w6075.
Повний текст джерелаWei, Shang-Jin, and Jungshik Kim. The Big Players in the Foreign Exchange Market: Do They Trade on Information or Noise? Cambridge, MA: National Bureau of Economic Research, November 1997. http://dx.doi.org/10.3386/w6256.
Повний текст джерелаAit-Sahalia, Yacine, and Per Mykland. How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise. Cambridge, MA: National Bureau of Economic Research, April 2003. http://dx.doi.org/10.3386/w9611.
Повний текст джерелаJiang, Yuxiang. Unsettled Technology Areas in Electric Propulsion Systems. SAE International, May 2021. http://dx.doi.org/10.4271/epr2021012.
Повний текст джерелаТарасова, Олена Юріївна, and Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.
Повний текст джерелаFiron, Nurit, Prem Chourey, Etan Pressman, Allen Hartwell, and Kenneth J. Boote. Molecular Identification and Characterization of Heat-Stress-Responsive Microgametogenesis Genes in Tomato and Sorghum - A Feasibility Study. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7591741.bard.
Повний текст джерелаRouseff, Russell L., and Michael Naim. Characterization of Unidentified Potent Flavor Changes during Processing and Storage of Orange and Grapefruit Juices. United States Department of Agriculture, September 2002. http://dx.doi.org/10.32747/2002.7585191.bard.
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