Case study

perception-pnrf: PNRF measurement format reconstruction

perception-pnrf documents the reverse-engineered PNRF measurement file format used by HBK Perception and provides Python and C# parsers. Its specification covers the NSS container, waveform and event channels, calibration and metadata. A command-line dump tool displays recording structure and sample previews.

Targets: App
Category: Independent reconstruction cases
Relationship: Independent reconstruction project
Sources reviewed: 2026-11-09

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Requirements & limits

Prerequisites: PNRF measurement files are required as parser input; implementations are provided for Python and C#.
Prerequisites: The large benchmark fixture is tracked with Git LFS and must be pulled before running benchmarks.
License: MIT licence.

Cite

BibTeX

@misc{perception-pnrf-case,
  title = {{perception-pnrf: PNRF measurement format reconstruction}},
  howpublished = {\url{https://codeberg.org/Apollo3zehn/perception-pnrf}},
  url = {https://codeberg.org/Apollo3zehn/perception-pnrf},
  urldate = {2026-11-09},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/perception-pnrf-case/}}
}

Plain text

perception-pnrf: PNRF measurement format reconstruction. https://codeberg.org/Apollo3zehn/perception-pnrf (accessed 2026-11-09). Awesome REA entry: https://awesomerea.org/resources/perception-pnrf-case/

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Primary sources

https://codeberg.org/Apollo3zehn/perception-pnrf/src/commit/b187fdc4eba3f439a8e68817ad5b963373374e60/README.md