>>13634337>are you saying that you can transmit a signal by changing the parameters of the Probability Distribution of otherwise randomly generated noise?Kinda, random/stochhastic processes are a bit more weird than that.
To fully understand what I'm saying, we need to get a bit technical (but still ignore stochhastic processes magic math)
>First the basics>pearson correlationhttps://en.wikipedia.org/wiki/Pearson_correlation_coefficient>autocorrelation:How much a signal is pearson correlated with itself from a previous time
>Spectral-densityhttps://en.wikipedia.org/wiki/Spectral_density>WhiteNoisehttps://en.wikipedia.org/wiki/White_noise>Wiener-Khinchin theoremhttps://en.wikipedia.org/wiki/Wiener%E2%80%93Khinchin_theorembasically relates the inverse fourier transform of the power spectral density to the autocorrelation function.
Now let's imagine you have a very strong whitenoise (const. power spectrum) generator and you transmit this to a receiver.
The receiver will measure a autocorrelation function looking like a delta function (white noise).
Now the transmitter just low-pass filters the white noise @~500HZ. The power spectrum looks now like a rectangle. The inverse fourier transform (autocorrelationfunction) of a rectangle is the sinc function. The receiver will now measure a autocorrelation function looking like a sinc function.
-> We have transmitted information with random noise and know the transmitter just low pass filtered the signal proving that nothing is really "noise" and everything has a pattern.
