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... which, I guess, means I should just look around github for "wavelet compression" and see what code pops up, since that search for good encodings will be done in any of those. ---
Edit: this one seems simple enough to learn from, it's minimal, MIT licensed, audio-focused, written in Julia, and references the course material that it's based on: https://github.com/nicholaskl97/wavelets It, uh ... like lots of scientific code, it has a lot of single-letter variables. :D But if one was to google up a few acronyms ('DWT'), install Julia, get it to run, and then re-implement it in another language, my feeling is that you might understand wavelets pretty good, no? Or be at least be well-equipped to understand more interesting uses of wavelets? (I'm posting this because I might use some 'shop time' doing approximately that, so I would definitely appreciate any HN comments telling me 'consider learning from $some_other_example instead, for $some_reason.') |