How do you do bicubic (or other non-linear) interpolation of re-sampled audio data?

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My favorite resource for audio interpolating (especially in resampling applications) is Olli Niemitalo’s “Elephant” paper.

I’ve used a couple of these and they sound terrific (much better than a straight cubic solution, which is relatively noisy). There are spline forms, Hermite forms, Watte, parabolic, etc. And they are discussed from an audio point-of-view. This is not just your typical naive polynomial fitting.

And code is included!

To decide which to use, you probably want to start with the table on page 60 which groups the algorithms into operator complexity (how many multiplies, and how many adds). Then choose among the best signal-to-noise solutions–use your ears as a guide to make the final choice. Note: Generally, the higher SNR, the better.

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