Choose the eleven taps of a finite-impulse-response filter so its frequency response approximates an ideal low-pass: gain near one in the passband, near zero in the stopband, with a free transition between. The error sums the gap to the target across a frequency grid. A smooth least-squares filter-design problem. Score is total passband-plus-stopband error, to minimise. 11-D.
| Algorithm | Error | Evals |
|---|---|---|
| — no runs yet — | ||
The JS objective is a line-for-line port of
example_applications/fir_filter_design and agrees to floating-point
tolerance. The curve is the realised magnitude response across frequency; the shaded
bands are the passband (target 1) and stopband (target 0) the filter must match.