Data compression for multidimensional time series data

A computer-implemented method for compressing sparse multidimensional ordered series data, the method comprising:

• receiving current multidimensional ordered series data, the current multidimensional ordered series data comprising spectrographic or image data;
• determining that a level of correlation of a series of similar peaks that exist between a current local region of the current multidimensional ordered series data and a corresponding previous local region of a previous multidimensional ordered series data is higher or equal to a threshold, wherein the series of similar peaks are considered similar if a majority of the series of peaks in the current and previous local regions have one or more of:
• approximately a same mass-to-charge ratio, approximately a same charge state as determined from spacing between subsequent peaks, and similar peak intensity abundance distributions that match an avergine model;
• scaling a correlated portion of the previous local region with an optimum scale factor to match a corresponding correlated portion of the current local region;
• adjusting the current local region by subtracting the scaled correlated portion;
• and
• encoding the adjusted current local region, including the optimum scale factor, into a compressed stream.

A system for compressing sparse multidimensional ordered series data, the system comprising a non-transitory computer-readable medium with instructions stored thereon, that when executed by a processor, cause the processor to:

• determine that a level of correlation of a series of similar peaks that exist between a current local region of current multidimensional ordered series data and a corresponding previous local region of a previous multidimensional ordered series data is higher or equal to a threshold, wherein the series of similar peaks are considered similar if a majority of the series of peaks in the current and previous local regions have one or more of:
• approximately a same mass-to-charge ratio, approximately a same charge state as determined from spacing between subsequent peaks, and similar peak intensity abundance distributions that match an avergine model;
• scale a correlated portion of the previous local region with an optimum scale factor to match a corresponding correlated portion of the current local region;
• adjust the current local region by subtracting the scaled correlated portion;
• and
• encode the adjusted current local region, including the optimum scale factor, into a compressed stream.