# %% import matplotlib.pyplot as plt import scipy.signal import numpy as np import matplotlib from matplotlib.patches import Rectangle import plot_params def ellip_filter(N): order = N passband_ripple_db = 3 stopband_attenuation_db = 20 omega_c = 1 a, b = scipy.signal.ellip( order, passband_ripple_db, stopband_attenuation_db, omega_c, btype='low', analog=True, output='ba', fs=None ) w, mag_db, phase = scipy.signal.bode((a, b), w=np.linspace(0*omega_c,2*omega_c, 4000)) mag = 10**(mag_db/20) passband_ripple = 10**(-passband_ripple_db/20) epsilon2 = (1/passband_ripple)**2 - 1 FN2 = ((1/mag**2) - 1) return w/omega_c, FN2 / epsilon2, mag, a, b plt.figure(figsize=(4,2.5)) for N in [5]: w, FN2, mag, a, b = ellip_filter(N) plt.semilogy(w, FN2, label=f"$N={N}, k=0.1$", linewidth=1) plt.gca().add_patch(Rectangle( (0, 0), 1, 1, fc ='green', alpha=0.2, lw = 10, )) plt.gca().add_patch(Rectangle( (1, 1), 0.01, 1e2-1, fc ='orange', alpha=0.2, lw = 10, )) plt.gca().add_patch(Rectangle( (1.01, 100), 1, 1e6, fc ='red', alpha=0.2, lw = 10, )) zeros = [0,0.87,1] poles = [1.01,1.155] import matplotlib.transforms plt.plot( # mark errors as vertical bars zeros, np.zeros_like(zeros), "o", mfc='none', color='black', transform=matplotlib.transforms.blended_transform_factory( plt.gca().transData, plt.gca().transAxes, ), ) plt.plot( # mark errors as vertical bars poles, np.ones_like(poles), "x", mfc='none', color='black', transform=matplotlib.transforms.blended_transform_factory( plt.gca().transData, plt.gca().transAxes, ), ) plt.xlim([0,2]) plt.ylim([1e-4,1e6]) plt.grid() plt.xlabel("$w$") plt.ylabel("$F^2_N(w)$") plt.legend() plt.tight_layout() plt.savefig("F_N_elliptic.pgf") plt.show() plt.figure(figsize=(4,2.5)) plt.plot(w, mag, linewidth=1) plt.gca().add_patch(Rectangle( (0, np.sqrt(2)/2), 1, 1, fc ='green', alpha=0.2, lw = 10, )) plt.gca().add_patch(Rectangle( (1, 0.1), 0.01, np.sqrt(2)/2 - 0.1, fc ='orange', alpha=0.2, lw = 10, )) plt.gca().add_patch(Rectangle( (1.01, 0), 1, 0.1, fc ='red', alpha=0.2, lw = 10, )) plt.grid() plt.xlim([0,2]) plt.ylim([0,1]) plt.xlabel("$w$") plt.ylabel("$|H(w)|$") plt.tight_layout() plt.savefig("elliptic.pgf") plt.show() print("zeros", a) print("poles", b)