Signal Processing Asked on November 27, 2020
I seek a visual explanation of this. I’ve already seen the maths, and can derive the proofs – they amount to nill for an intuitive understanding. Any amount of math is welcome, as long as serving to ultimately explain it visually.
Examples of excellent explanations:
Continuous vs Discrete: both are welcome, but ultimately the discrete case must be explainable. I’ve long thought of the input-side algorithm myself for continuous convolution, but never completed the picture; real analysis is tricky.
Circular vs linear: a complete explanation ought to cover both, but I’m primarily interested in linear convolution (rather, how the circular of padded signals is equivalent to linear).
Duality: ideally, should be covered (conv in freq domain <=> mult in time domain).
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