Abstract

Square root data compression is particularly suited to compression of scientific data where there shall be no reconstruction data artifacts, and reconstruction errors are required to be less than specified Poisson statistical noise levels. Its fixed compression ratio also makes it particularly suitable for real-time engineering implementation where telemetry rates and computer memory capacities are constrained. The compression scheme is described together with formulas that determine optimized control parameters to allow any input and compressed dynamic ranges to be accommodated, including joining to uncompressed data regions where zero data errors are desired to protect low count information. Further formulas are presented that allow optimized reconstruction values and maximum reconstruction error limits to be determined. Finally, some examples are presented that demonstrate its particular suitability for scientific applications.

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