*Is there an implementation of the Remez algorithm in Julia,or is someone
working on this?*
Sometimes it is important to have a (polynomial) *minmax approximation* to
a curve or function (on a finite interval), i.e., an approximating
polynomial of a certain maximum degree such that the
I wanted to do this for DSP.jl as this is used for filter design, but all
opensource implementations I could find to use as a reference just wrapped
the same old piece of Fortran code or a low-level translation of it to C
(this is the case in Scipy). As I am not terribly familiar with the
João, I found the same code
https://github.com/scipy/scipy/blob/master/scipy/signal/sigtoolsmodule.c#L229-L531
a few days ago, hoping it would give me a good starting point for a Julia
implementation. But I understand it at all. A blind port wouldn't be
feasible either considering all those
