Spectral Analysis in Time series
The Time Series Spectral Analysis of Satellite Altimetry and Coastal Tide Gauges and Tide Modeling in the Coast of Caspian Sea
... square spectral analysis on the time series, to find present significant frequencies, to analyze 40 tide components using harmonic methods and to show relationship between discovered ...
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Study of the Effects of Atmospheric Pressure in the Time Series of Muon Detector Using the Method of Spectral Analysis
... the spectral analysis was used by iterative regression in the search for periodicities present in the muon and pressure time series, was described in its general form by Reference [9] and ...
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Spectral Analysis Informs the Proper Frequency in the Sampling of Financial Time Series Data
... Spectral analysis is widespread in well developed areas, such as biology, astrophysics, engineering, and ...the time series data. The present study shows how spectral analysis ...
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Spectral analysis of high dimensional time series
... multiple time series is via char- acterising their spectral density matrix as the frequency domain analog of the covariance ...the time series is large compared to their length, ...
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Investment and Savings Cycles and Tests for Capital Market Integration
... A spectral analysis of the Australian time series for the investment and savings ratio on monthly data over the period finds that the investment ratio is subject to a cycle of 6 months ...
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Late Holocene climatic variability in Subarctic Canada: Insights from a high-resolution lake record from the central Northwest Territories
... Time series analyses were conducted on selected diatom data ...different time series analyses techniques were conducted; spectral analysis, which identifies statistically ...
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Wavelet analysis of the singular spectral reconstructed time series to study the imprints of solar–ENSO–geomagnetic activity on Indian climate
... singular spectral analysis (SSA) and wavelet analysis to the tree-ring temperature variability record from the Western ...common time period of 1876–2000. Both SSA and wavelet spectral ...
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Spectral analysis of atmospheric composition: application to surface ozone model–measurement comparisons
... a time series into a set of orthogo- nal periodic functions was first suggested by Joseph ...a time series, is termed the discrete Fourier transform ...regular time interval, which ...
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Multiscale entropy analysis of electroseismic time series
... geolectric time series across multiple time ...new time domain termed natural time, has been made by Varotsos et ...power spectral analysis and fractal dimension methods ...
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Using the signal to noise ratio of GPS records to detect motion of structures
... the spectral content of the signal-to-noise ratio (SNR) of GPS signals to detect frequencies of antenna ...data analysis as a supplement to low-quality positioning solution or as a near real-time ...
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Spectral Density Estimation of Continuous Time Series
... Although spectral analysis is one of the oldest tools for time series analysis, it is still one of the most widely used analysis techniques in many branches of sciences, ...
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Parameterizing the instrumental spectral response function and its changes by a super-Gaussian and its derivatives
... a time-consuming nonlin- ear fit, which is not feasible for operational analysis of longer time series, the spectral effects of an ISRF change can also be accounted for by adding a ...
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Computer aided analysis of nonlinear microwave analog circuits
... This technique uses generalized power series (power series having complex coef- ficients and time delays) descriptions for the nonlinear circuit elements in com- bination with a spectral[r] ...
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Spectral-decomposition techniques for the identification of periodic and anomalous phenomena in radon time-series
... Two spectral decomposition techniques, Empirical Mode Decomposition (EMD) and Singular Spectrum Analysis (SSA), have been applied to these time series and yield sim- ilar ...
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Power Spectral Density Analysis of Time Series of Pixel of Functional Magnetic Resonance Image for Different Motor Activity
... Neurologists use fMRI, a powerful tool to study the function of the brain. fMRI is a diagnostic method used to study the working of a normal, diseased or injured brain. Risk after neuro surgery or invasive treatment is ...
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Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data
... the spectral features (periodicity) of measles infection ...historical time series of measles cases or deaths are ...the time series used was short, with only 3 years of measles deaths ...
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Scaling characteristics of ULF geomagnetic fields at the Guam seismoactive area and their dynamics in relation to the earthquake
... irregular time series. In the actual analysis of geophysical data, the power spectrum obtained by the FFT method shows noisy fluctuations superposed on the power law spectrum (see, for example, ...
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Essays on Non-Gaussian Time Series Analysis
... first step is the estimation of a survival function from mortality tables within each year. The sur- vival function, the MCH function, is based on a simplified form of the Wong and Tsui (2015) CH function, which ...
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Expectation-maximization analysis of spatial time series
... (EOF) analysis have been used to simplify the description of large datasets by separating temporal and spatial ...spatial time series and to analyze variability within the ...
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TIME SERIES ANALYSIS ON EXPORTS AND ITS DETERMINANTS
... As the study was based on time series data for the period 1991-2012, it was necessary to test the stationarity of the variables in the export equation. Dickey Fuller statistics (Unit root test) was first ...
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