Letteratura scientifica selezionata sul tema "Non-stationary tide"
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Articoli di riviste sul tema "Non-stationary tide":
Manson, A. H., C. E. Meek, T. Chshyolkova, X. Xu, T. Aso, J. R. Drummond, C. M. Hall et al. "Arctic tidal characteristics at Eureka (80° N, 86° W) and Svalbard (78° N, 16° E) for 2006/07: seasonal and longitudinal variations, migrating and non-migrating tides". Annales Geophysicae 27, n. 3 (9 marzo 2009): 1153–73. http://dx.doi.org/10.5194/angeo-27-1153-2009.
Carrere, Loren, Brian K. Arbic, Brian Dushaw, Gary Egbert, Svetlana Erofeeva, Florent Lyard, Richard D. Ray et al. "Accuracy assessment of global internal-tide models using satellite altimetry". Ocean Science 17, n. 1 (19 gennaio 2021): 147–80. http://dx.doi.org/10.5194/os-17-147-2021.
D’Arcy, Eleanor, Jonathan A. Tawn e Dafni E. Sifnioti. "Accounting for Climate Change in Extreme Sea Level Estimation". Water 14, n. 19 (21 settembre 2022): 2956. http://dx.doi.org/10.3390/w14192956.
Das, Uma, William E. Ward, Chen Jeih Pan e Sanat Kumar Das. "Migrating and non-migrating tides observed in the stratosphere from FORMOSAT-3/COSMIC temperature retrievals". Annales Geophysicae 38, n. 2 (31 marzo 2020): 421–35. http://dx.doi.org/10.5194/angeo-38-421-2020.
Falanga, Mariarosaria, Enza De Lauro, Simona Petrosino e Salvatore De Martino. "Interaction between seismicity and deformation on different time scales in volcanic areas: Campi Flegrei and Stromboli". Advances in Geosciences 52 (5 dicembre 2019): 1–8. http://dx.doi.org/10.5194/adgeo-52-1-2019.
Zoppetti, F. A., H. Folonier, A. M. Leiva e C. Beaugé. "Creep tide model for the three-body problem". Astronomy & Astrophysics 651 (luglio 2021): A49. http://dx.doi.org/10.1051/0004-6361/202140957.
Lühr, H., e C. Manoj. "The complete spectrum of the equatorial electrojet related to solar tides: CHAMP observations". Annales Geophysicae 31, n. 8 (5 agosto 2013): 1315–31. http://dx.doi.org/10.5194/angeo-31-1315-2013.
Manson, A. H., C. E. Meek, X. Xu, T. Aso, J. R. Drummond, C. M. Hall, W. K. Hocking, M. Tsutsumi e W. E. Ward. "Characteristics of Arctic tides at CANDAC-PEARL (80° N, 86° W) and Svalbard (78° N, 16° E) for 2006–2009: radar observations and comparisons with the model CMAM-DAS". Annales Geophysicae 29, n. 10 (31 ottobre 2011): 1939–54. http://dx.doi.org/10.5194/angeo-29-1939-2011.
Wahl, T., J. Jensen e T. Frank. "On analysing sea level rise in the German Bight since 1844". Natural Hazards and Earth System Sciences 10, n. 2 (1 febbraio 2010): 171–79. http://dx.doi.org/10.5194/nhess-10-171-2010.
Onohara, Amelia Naomi, Inez Staciarini Batista e Paulo Prado Batista. "Wavenumber-4 structures observed in the low-latitude ionosphere during low and high solar activity periods using FORMOSAT/COSMIC observations". Annales Geophysicae 36, n. 2 (21 marzo 2018): 459–71. http://dx.doi.org/10.5194/angeo-36-459-2018.
Tesi sul tema "Non-stationary tide":
凌仕卿 e Shiqing Ling. "Stationary and non-stationary time series models with conditional heteroscedasticity". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31236005.
Ling, Shiqing. "Stationary and non-stationary time series models with conditional heteroscedasticity /". Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18611953.
Xu, Mengyuan Tracy. "Filtering non-stationary time series by time deformation". Ann Arbor, Mich. : ProQuest, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3309151.
Title from PDF title page (viewed Mar. 16, 2009). Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2402. Advisers: Wayne A. Woodward; Henry L. Gray. Includes bibliographical references.
Campbell, N. C. "Statistical methods for non-stationary time series analysis". Thesis, University of Cambridge, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597266.
Chen, Hao. "Real time model adaptation for non-linear and non-stationary systems". Thesis, University of Reading, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.630445.
Muševič, Sašo. "Non-stationary sinusoidal analysis". Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123809.
Many types of everyday signals fall into the non-stationary sinusoids category. A large family of such signals represent audio, including acoustic/electronic, pitched/transient instrument sounds, human speech/singing voice, and a mixture of all: music. Analysis of such signals has been in the focus of the research community for decades. The main reason for such intense focus is the wide applicability of the research achievements to medical, financial and optical applications, as well as radar/sonar signal processing and system analysis. Accurate estimation of sinusoidal parameters is one of the most common digital signal processing tasks and thus represents an indispensable building block of a wide variety of applications. Classic time-frequency transformations are appropriate only for signals with slowly varying amplitude and frequency content - an assumption often violated in practice. In such cases, reduced readability and the presence of artefacts represent a significant problem. Time and frequency resolu
Wong, W. K. "Some contributions to multivariate stationary non-linear time series". Thesis, University of Manchester, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540596.
Guillaumin, Arthur P. "Quasi-likelihood inference for modulated non-stationary time series". Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10044853/.
Nguyen, Yen Thi Hong. "Time-frequency distributions : approaches for incomplete non-stationary signals". Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/19681/.
Brat, Guillaume Philippe. "A (max,+) algebra for non-stationary and non-deterministic periodic discrete event systems /". Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Libri sul tema "Non-stationary tide":
Priestly, M. B. Non-linear and non-stationary time series. London: Academic Press, 1988.
Segal, Mordechai. Time delay estimation in stationary and non-stationary environments. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1988.
Priestley, M. B. Non-linear and non-stationary time series analysis. London: Academic Press, 1988.
Hunter, John, Simon P. Burke e Alessandra Canepa. Multivariate Modelling of Non-Stationary Economic Time Series. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4.
Wong, W. K. Some contributions to multivariate stationary non-linear time series. Manchester: UMIST, 1993.
Moukadem, Ali, Djaffar Ould Abdeslam e Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118908686.
Qian, Ying. Optimal hedging strategy re-visited: Acknowledging the existence of non-stationary economic time series. [Washington, DC]: World Bank, International Economics Dept., International Trade Division, 1994.
Bergstrom, A. R. The estimation of parameters in non-stationary higher order continuous time dynamic models. [Colchester]: Department of Economics, University of Essex, 1985.
Priestly, M. B. Non-linear and non-stationary time series analysis. Academic, 1988.
Priestly. Non-linear and Stationary Time Series Analysis. Elsevier, 1991.
Capitoli di libri sul tema "Non-stationary tide":
Cowpertwait, Paul S. P., e Andrew V. Metcalfe. "Non-stationary Models". In Introductory Time Series with R, 137–57. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-88698-5_7.
Widiputra, Harya, Russel Pears e Nikola Kasabov. "Dynamic Learning of Multiple Time Series in a Nonstationary Environment". In Learning in Non-Stationary Environments, 303–47. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-8020-5_12.
Hunter, John, Simon P. Burke e Alessandra Canepa. "Multivariate Time Series". In Multivariate Modelling of Non-Stationary Economic Time Series, 21–75. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4_2.
Sahu, B. K. "Non-Stationary Univariate Time Series Models". In Time Series Modelling in Earth Sciences, 153–73. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003211280-3.
Ramachandra Rao, A., Khaled H. Hamed e Huey-Long Chen. "Segmentation of Non-Stationary Time Series". In Nonstationarities in Hydrologic and Environmental Time Series, 213–52. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0117-5_7.
Mills, Terence C. "Non-stationary Time Series: Differencing and ARIMA Modelling". In Time Series Econometrics, 41–57. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137525338_3.
Hunter, John, Simon P. Burke e Alessandra Canepa. "The Structural Analysis of Time Series". In Multivariate Modelling of Non-Stationary Economic Time Series, 383–439. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4_9.
Hunter, John, Simon P. Burke e Alessandra Canepa. "Introduction". In Multivariate Modelling of Non-Stationary Economic Time Series, 1–19. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4_1.
Hunter, John, Simon P. Burke e Alessandra Canepa. "Cointegration". In Multivariate Modelling of Non-Stationary Economic Time Series, 77–144. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4_3.
Hunter, John, Simon P. Burke e Alessandra Canepa. "Testing for Cointegration: Standard and Non-Standard Conditions". In Multivariate Modelling of Non-Stationary Economic Time Series, 145–204. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-31303-4_4.
Atti di convegni sul tema "Non-stationary tide":
Guan, Heshan, Shuliang Zou, Mengya Liu e Tieli Wang. "Clustering univariate time series into stationary and non-stationary". In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569228.
HUTT, A., e F. KRUGGEL. "FIXED POINT ANALYSIS: DYNAMICS OF NON-STATIONARY SPATIOTEMPORAL SIGNALS". In Space-Time Chaos: Characterization, Control and Synchronization. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811660_0003.
Kalinggo, Bonnie Alexandra, e Zulkarnain. "Time Series Forecasting for Non-stationary Data". In APCORISE 2020: 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3400934.3400952.
Pukhova, Valentina M., Taras V. Kustov e Gabriele Ferrini. "Time-frequency analysis of non-stationary signals". In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2018. http://dx.doi.org/10.1109/eiconrus.2018.8317292.
Dorken, E., e S. H. Nawab. "Time-frequency analysis of non-stationary harmonic sounds". In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319483.
Kuchansky, Alexander, Andrii Biloshchytskyi, Yurii Andrashko, Svitlana Biloshchytska, Tetyana Honcharenko e Volodymyr Nikolenko. "Fractal Time Series Analysis in Non-Stationary Environment". In 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T). IEEE, 2019. http://dx.doi.org/10.1109/picst47496.2019.9061554.
Hasanov, Aydin, e Sayyar Abdullayev. "Integrated analysis technology of non-stationary time series". In 2012 IV International Conference "Problems of Cybernetics and Informatics" (PCI). IEEE, 2012. http://dx.doi.org/10.1109/icpci.2012.6486292.
Barbato, Michele, e Marcello Vasta. "Time-Variant Spectral Characteristics of Non-Stationary Processes". In 6th International Conference on Computational Stochastic Mechanics. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-08-7619-7_p004.
Li, Chang, e Maarten de Rijke. "Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model". In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/396.
Li, Yu-Lin, e Jehn-Ruey Jiang. "Anomaly Detection for Non-Stationary and Non-Periodic Univariate Time Series". In 2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE). IEEE, 2020. http://dx.doi.org/10.1109/ecice50847.2020.9301943.
Rapporti di organizzazioni sul tema "Non-stationary tide":
Hart, Carl, e Gregory Lyons. A tutorial on the rapid distortion theory model for unidirectional, plane shearing of homogeneous turbulence. Engineer Research and Development Center (U.S.), luglio 2022. http://dx.doi.org/10.21079/11681/44766.