Sort of an abstract question, but how similar is signal processing in audio engineering and image processing? For instance, fourier analysis seems to be a major component of both.
keenan
@intelligentDungBeetle There are a lot of basic tools shared by the two (Fourier transform, low/high/band pass filtering, etc.) but of course there are a lot of things you encounter in 2D that don't have a natural analogue in 1D. Likewise, when you get to signal processing of geometric data (e.g., curved surfaces in 3D) things get even trickier because even the Fourier transform has to be re-thought (and, sadly, there's no equivalent of the O(n log n) FFT anymore!)
Sort of an abstract question, but how similar is signal processing in audio engineering and image processing? For instance, fourier analysis seems to be a major component of both.
@intelligentDungBeetle There are a lot of basic tools shared by the two (Fourier transform, low/high/band pass filtering, etc.) but of course there are a lot of things you encounter in 2D that don't have a natural analogue in 1D. Likewise, when you get to signal processing of geometric data (e.g., curved surfaces in 3D) things get even trickier because even the Fourier transform has to be re-thought (and, sadly, there's no equivalent of the O(n log n) FFT anymore!)