A technique to detect periodic and non-periodic ultra-rapid flux time variations with standard radio-astronomical data
Ermanno F. Borra, Jonathan D. Romney, Eric Trottier

TL;DR
This paper presents a method using autocorrelation of intensity data from standard radio-astronomical observations to detect extremely rapid, weak, and both periodic and non-periodic signals, including potential extraterrestrial messages.
Contribution
It introduces a novel application of autocorrelation for detecting rapid, weak, non-periodic signals with standard instrumentation, surpassing Fourier transform limitations.
Findings
Autocorrelation effectively detects weak, rapid signals.
It visualizes signal shape directly, unlike Fourier transforms.
It can identify non-periodic signals, including potential extraterrestrial messages.
Abstract
We demonstrate that extremely rapid and weak periodic and non-periodic signals can easily be detected by using the autocorrelation of intensity as a function of time. We use standard radio-astronomical observations that have artificial periodic and non-periodic signals generated by the electronics of terrestrial origin. The autocorrelation detects weak signals that have small amplitudes because it averages over long integration times. Another advantage is that it allows a direct visualization of the shape of the signals, while it is difficult to see the shape with a Fourier transform. Although Fourier transforms can also detect periodic signals, a novelty of this work is that we demonstrate another major advantage of the autocorrelation, that it can detect non-periodic signals while the Fourier transform cannot. Another major novelty of our work is that we use electric fields taken in a…
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