https://github.com/sandialabs/hifipdv2

A high fidelity analysis program for processing single velocity PDV signals https://doi.org/10.11578/dc.20240320.7
https://github.com/sandialabs/hifipdv2

pdv scr-2978 snl-data-analysis velocimetry

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A high fidelity analysis program for processing single velocity PDV signals https://doi.org/10.11578/dc.20240320.7

• Host: GitHub
• URL: https://github.com/sandialabs/hifipdv2
• Owner: sandialabs
• License: other
• Created: 2024-01-10T20:53:57.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-01T01:04:28.000Z (about 1 year ago)
• Last Synced: 2025-05-01T02:20:32.255Z (about 1 year ago)
• Topics: pdv, scr-2978, snl-data-analysis, velocimetry
• Language: MATLAB
• Homepage: https://doi.org/10.11578/dc.20240320.7
• Size: 152 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
 SAND2024-01061O The HiFiPDV-2 software is similar to other photonic Doppler velocimetry (PDV) 

 analysis codes in that it converts signals from intensity-time space to frequency-time space 

 using a short-time Fourier transform (STFT). It then analyzes peaks of the resulting power 

 spectral density information to extract the velocity-time history. The unique aspects of 

 HiFiPDV and HiFiPDV-2 are that this reduction process is repeated for an array of reasonable 

 STFT input variables. The resulting population distribution of output velocity-time histories 

 is evaluated to determine the most likely velocity history and its associated uncertainty. 

 This uncertainty is defined as the systematic uncertainty of the PDV signal as it is a 

 function of input values to the reduction process. The HiFiPDV-2 program brings new 

 functionality and efficiency to these calculations—most notably significant reductions in 

 memory usage and calculation times, the ability to evaluate frequency-shifted signals, and 

 the ability to filter out baseline signals. Developers recommend that users have at least 

 2 GB of RAM per CPU core in their system. Sandia National Laboratories is a multimission 

 laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC,

 a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s

 National Nuclear Security Administration under contract DE-NA0003525.