How does the audio example square with nyquist limit? Basically you can get it back, mostly, with some clever tricks, but I’m not crazy thinking that the original was decimated beyond lossless recovery right?
> Compressed sensing in this context is made possible by the fact that the signal’s frequency content is highly sparse.
The fact that the signal is so regular is what makes this possible. You're sampling the same signal many times, far more than twice the frequency of the highest frequency.
If the signal's frequencies changed over time or if there were more frequencies in the signal, this wouldn't work or would require far more data.
The fact that the signal is so regular is what makes this possible. You're sampling the same signal many times, far more than twice the frequency of the highest frequency.
If the signal's frequencies changed over time or if there were more frequencies in the signal, this wouldn't work or would require far more data.