Signal Toolkit - ellip
- Function File:
[b, a] =
ellip(n, rp, rs, wp)
- Function File:
[b, a] =
ellip(n, rp, rs, wp, "high")
- Function File:
[b, a] =
ellip(n, rp, rs, [wl, wh])
- Function File:
[b, a] =
ellip(n, rp, rs, [wl, wh], "stop")
- Function File:
[z, p, g] =
ellip(…)
- Function File:
[a, b, c, d] =
ellip(…)
- Function File:
[…] =
ellip(…, "s")
-
Generate an elliptic or Cauer filter with rp dB of passband ripple and rs dB of stopband attenuation.
[b,a] = ellip(n, Rp, Rs, Wp) low pass filter with order n, cutoff pi*Wp radians, Rp decibels of ripple in the passband and a stopband Rs decibels down.
[b,a] = ellip(n, Rp, Rs, Wp, ’high’) high pass filter with cutoff pi*Wp...
[b,a] = ellip(n, Rp, Rs, [Wl, Wh]) band pass filter with band pass edges pi*Wl and pi*Wh ...
[b,a] = ellip(n, Rp, Rs, [Wl, Wh], ’stop’) band reject filter with edges pi*Wl and pi*Wh, ...
[z,p,g] = ellip(...) return filter as zero-pole-gain.
[...] = ellip(...,’s’) return a Laplace space filter, W can be larger than 1.
[a,b,c,d] = ellip(...) return state-space matrices
References:
- Oppenheim, Alan V., Discrete Time Signal Processing, Hardcover, 1999. - Parente Ribeiro, E., Notas de aula da disciplina TE498 - Processamento Digital de Sinais, UFPR, 2001/2002.