SSA enhancement of GPR data.
We present a novel method of improving signal-to-noise ratio in radargrams. The method uses singular spectrum analysis (SSA) to separate each individual radar trace into orthogonal components. The …
Dec 24, 2006Time Series Analysis
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New Tools for Analyzing Time Series Relationships and Trends.
Moore, J. C., A. Grinsted, S. Jevrejeva (2005) New Tools for Analyzing Time Series Relationships and Trends. EOS, 86(24). pdf
Dec 24, 2005 -
Virtual station reconstruction of global sea level.
We analyze the Permanent Service for Mean Sea Level (PSMSL) database of sea level time series using a method based on Monte Carlo Singular Spectrum Analysis (MC-SSA). We remove 2–30 year …
Dec 24, 2005 -
Application of the cross wavelet transform and wavelet coherence to geophysical time series.
Many scientists have made use of the wavelet method in analyzing time series, often using popular free software. However, at present there are no similar easy to use wavelet packages for analyzing two …
Dec 24, 2004 -
Oceanic and atmospheric transport of multiyear ENSO signatures to the polar regions.
Using Monte-Carlo Singular Spectrum Analysis (MC- SSA) and Wavelet Transform (WT) we separate statistically significant components from time series and demonstrate significant co-variance and …
Dec 24, 2004 -
ENSO influence on AO and Baltic ice conditions.
Jevrejeva, S., J. C. Moore, and A. Grinsted (2003), Influence of the Arctic Oscillation and El Niño-Southern Oscillation (ENSO) on ice conditions in the Baltic Sea: The wavelet approach, J. Geophys. …
Dec 24, 2003