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Abstract

A motion-based method and system for rapidly identifying the presence of spatially dispersed or interwoven patterns in data and their deviation from a test model for the pattern includes transforming dispersed patterns into one concentrated moving objects, for which there is a characteristic, identifiable motion signature. The method may be used with data sets containing sharp peaks, such as frequency spectra, and other data sets. A roadmap of basic motion signatures is provided for reference, including multiple harmonic series, separation of odd and even harmonics, missing modes, sidebands and inharmonic patterns. The system and method may also be used with data stored in arrays and volumes. It remaps such data to show both high-resolution information and long range trends simultaneously for applications in nanoscale imaging.

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First Claim