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It then analyzes peaks of the resulting power \n spectral density information to extract the velocity-time history. The unique aspects of \n HiFiPDV and HiFiPDV-2 are that this reduction process is repeated for an array of reasonable \n STFT input variables. The resulting population distribution of output velocity-time histories \n is evaluated to determine the most likely velocity history and its associated uncertainty. \n This uncertainty is defined as the systematic uncertainty of the PDV signal as it is a \n function of input values to the reduction process. The HiFiPDV-2 program brings new \n functionality and efficiency to these calculations—most notably significant reductions in \n memory usage and calculation times, the ability to evaluate frequency-shifted signals, and \n the ability to filter out baseline signals. Developers recommend that users have at least \n 2 GB of RAM per CPU core in their system. 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