Fourier Epicycle Drawing
For $N$ complex sample points, compute $C_k$ via discrete Fourier transform (DFT) and reconstruct $z(t) = \sum_k C_k \exp(2\pi i k t / N)$. With $M$ epicycles the reconstruction error decreases monotonically; full $N/2$ reproduces the path within float precision.
WHAT TO TRY
- Vary each control and watch the rail readouts respond.
- Compare the diagnostic plot against the live scene.