Gravitational Information Extraction Device for Recognition-Weighted Multiscale Analysis of Gravitational Wave Signals

A method for extracting informational content from gravitational-wave measurements, comprising:

• receiving measurement data from a sensor subsystem responsive to gravitational-wave-induced effects;
• deriving, from the measurement data, a recognition signal parameter based at least in part on an amplitude quantity, a frequency quantity, and a time quantity;
• computing a recognition coverage quantity from the recognition signal parameter;
• computing, at a plurality of scales, recognition-weighted transforms using scale-dependent recognition coverage quantities;
• identifying one or more structured informational features from the recognition-weighted transforms;
• computing an informational content quantity;
• comparing the informational content quantity or a coherence statistic to a threshold;
• and
• generating an output including at least one of an event indicator, a classification, a report, or a correlation result at least when the threshold is satisfied.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• receive measurement data generated by a sensor subsystem responsive to gravitational-wave-induced effects;
• derive a nonnegative recognition signal parameter from the measurement data;
• compute a recognition coverage quantity from the recognition signal parameter using a bounded monotone increasing coverage function;
• compute a plurality of recognition-weighted transforms at different scales using scale-dependent recognition coverage quantities;
• identify one or more structured informational features from the plurality of recognition-weighted transforms;
• compute an informational content quantity from the recognition coverage quantity or from the plurality of recognition-weighted transforms;
• compare the informational content quantity or a coherence statistic derived from the plurality of recognition-weighted transforms to at least one threshold;
• and
• generate the output including at least one of an event indicator, a classification, a report, or a correlation result at least when the threshold is satisfied.