![]() ![]() Whether it be the weird, dissonant wail of PSK-31 or the angry buzzing of PACTOR, the goings-on across the bands no longer have to remain a mystery. With a five to ten second sample of a signal, captured either live over a microphone or from a recording, he is able to identify the signal automatically. The database contains hashes for an FFT of each sample, which can be easily searched. used a homebrew version of the app to search a SQL-lite database of audio fingerprints populated not with a playlist of popular music, but with samples from every known signal type in the Signal Identification Wiki. ![]() Shazam is a popular smartphone app that listens to a few seconds of a song, creates an audio fingerprint of it, and searches a massive database of songs for a match. has made progress toward automatically classifying unknown signals by modifying a Shazam-like app. Now, the ham bands are full of exotic signals encoding all manner of digital signals, each one with a unique sound and unique demodulation needs. Spinning the dial up and down the bands, one heard familiar sounds – the staccato of Morse, the of sideband voice transmissions, and the occasional flute-like warble of radioteletype signals. Time was once that the amateur radio bands were an aurally predictable place. ![]()
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