Rescuing "Unknown" Observations: TechnoSat #13176907 recovery using Spiking Neural Networks (Anti-LIF)

Hi community,

​I’m the founder of GhostHunter, a project focused on signal intelligence and recovery from high noise floors. Recently, I analyzed observation #13176907 (TechnoSat), which was originally marked as “Unknown” due to the extreme noise levels at the Apomahon station.

​By applying our Anti-LIF (SNN) neuromorphic engine, we were able to filter the noise floor and extract a clean rhythmic envelope.

Key results from the recovery:

  • Method: Dynamic thresholding at \mu + 0.5\sigma via Spiking Neural Network.

  • Sparsity: 97.77% noise rejection.

  • Morse Headers identified: [T, U, E, 4, I], matching TechnoSat telemetry callsigns.

​You can check the full mission report, the raw bitstream, and the recovered Morse envelope here:

:backhand_index_pointing_right: https://temporaledwin58-creator.github.io/ghosthunter-database/Reporte_TechnoSat_13176907.html

​I would love to get your feedback on this approach or help with other “impossible” observations that might contain hidden data.

​73’s!

Edwin | GhostHunter Founder

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