TOOLKIT SPECTRUM — AN INNOVATIVE SOLUTION FOR CHAPTER 10 DATA ANALYSIS
RF data analysis in Chapter 10 files traditionally requires replaying them on recorders, even for ba- sic tasks such as assessing the file label or performing frequency spectrum analysis. However, input files can be poorly labeled or may require significant transfer times to the recorder. The Chapter 10 Toolkit addresses these challenges by providing a portable software-based solution for recorded data representation. The Toolkit offers a fast and comprehensive solution to streamlining Chapter 10 file analysis via waterfall spectrum display, packet data and header visualization, channel ex- traction tools, and specific packet search functions. Additionally, the Toolkit integrates a dynamic sampled representation of the recorded signal and cutting-edge AI-based prediction tool to analyze input data, predict signal waveforms and other characteristics. By leveraging advance algorithms, this predictive tool aids in the visualization, evaluation, and interpretation of test telemetry data.
Authors
- Alexis Chatail–Rigolleau
Publication Details
- Journal
- UA Campus Repository (The University of Arizona)
- Published
- 2025-10-01
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00