This post focuses on convolution as it applies to audio - the capturing and reapplication of the qualities of sound.
A few years ago some new-fangled audio processing engines started to leak out of the lab and into the market involving a process called convolution. The name convolution comes from the type of math involved, but applying the process to audio signals provides for some pretty interesting opportunities.
Essentially, the process of convolution really requires two things: deconvolution and convolution. It’s actually a little backwards from the conventional use of the prefix ‘de’, although that again comes from its math roots. Deconvolution is the process of capturing the audio changes imposed upon a signal when fed through an environment, whether that be a physical room or a piece of equipment. Convolution is the process of applying those changes to a different signal. So, in essence, deconvolution would be ’sampling’ the way an environment affects the signal, whereas convolution would be making that sample into an effect, which is applied to other signals.
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