Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Wavelet coherence"”.
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Homogenization and analysis of hydrological time series
… for time series analysis: homogeneity tests, wavelet analysis and copula analysis. Homogeneity tests allow to identify a first important kind of variability in the time series, which is not due to climate nor seasonal variability. Testing for inhomogeneities is therefore an important step that …
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Tactical Allocation Through the Lens of Correlational Time-Variance, Determinants, and Regimes
… structural break tests and an innovative Wavelet Coherence (WC) methodology, where our findings reveal temporal instability. Through a multi-method statistical approach, we present robust and persuasive evidence of macroeconomic factors as determinants of temporal change. Leveraging …
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Streamflow Generation in alpine Catchments: The role of hydrological and geochemical information
… such us tracer-based analysis, continuous wavelet transform, wavelet coherence, cross-correlation and Hovmöller diagrams; in order to investigate the mechanisms controlling streamflow generation on real case studies at different temporal scales. Hence, the present thesis is based on four …
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Developing and Evaluating New Methods for Assessing Postural Control and Dynamics
… were used to evaluate postural coordination. A wavelet coherence approach was developed and applied to assess the level and pattern of coordination between pairs of joints (i.e., ankle-knee, ankle-trunk, and ankle-head). In addition, the uncontrolled manifold method was implemented for …
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Simulating the characteristics of droughts in Southern Africa
… of the drought patterns are studied using wavelet analysis. The relationship between each drought pattern and global SSTs (and climate indices) is quantified using correlation analysis and wavelet coherence analysis. The study uses correlation analysis to quantify the capability of the …
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Non-growing season CO2 fluxes of a boreal fen – key drivers and responses to anomalous winter conditions
… temperature had an equal relative importance. A wavelet coherence analysis further revealed that the mean annual cycles of NEE and soil temperature were coherent during the summer months across the diurnal scale. For instance, NEE correlated positively (decreasing the net carbon sink) with soil …
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Understanding the characteristics of droughts over Eastern Africa in past and future climates
… combined principal component analysis (PCA) with wavelet analysis to identify the spatio-temporal structure of four dominant drought modes over the region. It also used wavelet coherence to quantify the influence of four atmospheric teleconnections (i.e. El Niño Southern Oscillation, ENSO; Indian …
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The Financial Integration and Its Flipside with a Focus on Banking and Stock Markets of Central, Eastern, and Southeastern European Countries
… of the various research methodologies such as wavelet technique, cluster analysis, and GARCH models. After the introduction of the thesis and hypotheses, the second chapter explains financial integration and its impacts on Central, Eastern, and Southeastern European economies. In the third …
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Analyzing lakes in the time frequency domain
… a shallow, polymictic lake. The final study uses wavelet coherence as a diagnostic tool for limnology on a multivariate high-frequency data set recorded between the onset of ice cover and a cyanobacteria summer bloom in the year 2009 in a polymictic lake. Synchronicities among limnological and …
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Συμβολή στην ανάλυση της λειτουργίας και σχεδίασης σύγχρονων αγορών ηλεκτρικής ενέργειας με εφαρμογές σε πραγματικό σύστημα
… χρόνου. Στη συνέχεια εφαρμόσθηκε η μέθοδος του wavelet στις χρονοσειρές των τιμών αγορών ηλεκτρικής ενέργειας της Ιταλίας (PUN και GREC) και της Ελλάδας (SMP) αντίστοιχα, στις διαφορές τους (PUN-SMP ή GREC-SMP) καθώς και στη διαφορά Εξαγωγές-Εισαγωγές ώστε να παραχθεί ένας αριθμός πάρα πολύ …
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What can we learn from climate data? : Methods for fluctuation, time/scale and phase analysis
… Gaussian stochastic processes is defined in the wavelet domain. These processes are characterized by means of wavelet multipliers and exhibit well defined time dependent spectral properties; they allow one to generate realizations of any nonstationary Gaussian process. The dependency of the …