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jAudio 1.0 Feature Appendix

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2D Polynomial Approximation

2D Polynomial approximation creates a f(x,y)=z polynomial that bests fits the given data points. By default, all data points are included, but theoretically, complete data is not a requirement. The result comes from a coeffecient matrix created by calculating the given powers of x and y from indeci data for each coeffecient term, then calculating the least square error while generating an output vector. This variant utilizes the logarithm of constant Q bins for the vertical dimension.

This feature was published in August of 2010 in a McEnnis log journal entry.