Wavelet maxima curves of surface latent heat flux
AssigneeGeorge Mason Intellectual Properties, Inc.
InventorsGuido Cervone, Menas Kafatos, Domenico Napoletani, Ramesh P. Singh
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Abstract
The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.
Claims7
A program storage device readable by a machine, embodying a program of instructions executable by the machine to perform a process for identifying earthquake precursory signals, the process comprising the steps of:
- a. selecting at least one grid to generate a grid path;
- b. analyzing a time-series on the grid using wavelet transformation;
- c. identifying at least one local wavelet maximum for each scale of the wavelet transformation;
- d. generating a sequence of the wavelet maximum;
- e. identifying at least one singularity using the sequence;
- f. measuring geometrical space and time continuity of the singularity along the grid path;
- g. identifying at least one anomaly;
- and
- h. detecting an earthquake using the anomaly.
Dependencies are inferred from the claim text.