Recent submissions

Comment · 6 years ago
This is a well known trick. See “Filter Realization” section here: https://en.m.wikipedia.org/wiki/Digital_filter

High-order polynomials are very sensitive to small deltas in the coefficients of their high-order terms. Representing the same function as the product of low-order factors is much more stable numerically.

Comment · 7 years ago
I’m a big fan of Soundslice!

More specifically, the G-Plus lesson interface of Guitar Instructor used to be Tunessence. It was a labor of love that we definitely did not build with the intention of selling. We wanted to teach people music through their favorite songs. Ultimately the licensing required to do that proved to be a hurdle we couldn’t clear, so we’re very grateful the product is able to live on in a great home. As the largest publisher of music, Hal Leonard was an obvious and great fit.

Comment · 7 years ago
Comment · 7 years ago
Full disclosure: this is a friend's startup. Not intended to be an advert. We've worked together on computer vision problems in the past, and there is some serious tech under the hood here. Happy to change the title if you have a better suggestion.
Comment · 8 years ago
Misleading right off the bat. “Linear” and “parametric” are orthogonal concepts. A parametric model can be linear or non-linear (I.e you can fit the parameters of a model f(x) = A * sin(w*x)). A non-parametric model can also be a linear combination of examples, or not.
Comment · 11 years ago

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