Not exact matches
To learn more about these cooked planets, the team turned to asteroseismology, which is a branch of science that deals with the study of pulsating stars through
analysis of their
frequency spectra.
To establish the
frequency specificity of the effects found with EEG - informed fMRI for the gamma and theta bands, we explored EEG - BOLD coupling across the whole EEG
spectrum in the left auditory region that was more activated in control than ASD subjects during the movie in the fMRI - only
analysis.
Summary of the
analyses of polymorphism and
frequency spectrum tests of neutrality in both rabbit subspecies for three different datasets.
General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend
Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags
Analysis General Purpose General Model Almon Distributed Lag Single
Spectrum (Fourier)
Analysis Cross-
spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created
Spectrum Analysis — Basic Notations and Principles
Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for
Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series
It is evident that a rough
analysis of short global temperature
spectra shows tide
frequencies of the synodic couple Jupiter / Earth, superimposed by the couples Mercury / Earth, Venus / Earth and Mercury / Jupiter.
RMSSD is sensitive to high -
frequency heart period fluctuations in the respiratory
frequency range and is used as an index of vagal cardiac control.3) In the
frequency - domain
analysis, the power
spectra of three
frequency bands are calculated: very low
frequency (VLF; 0.005 - 0.040 Hz), low
frequency (LF; 0.04 - 0.15 Hz), high
frequency (HF; 0.15 - 0.40 Hz), and total power (TP), including VLF, LF, and HF.1) For the non-linear complexity measure, the approximate entropy (ApEn) is calculated.4) The ApEn is a parameter that was developed to quantify the degree of regularity versus unpredictability in a higher dimensional attractor reconstructed from a time series, such as the instantaneous heart rate time series.5, 6) A lower ApEn value reflects a higher degree of regularity, and the higher the entropy value, the more unpredictable the time series.5, 6)