def draw_taug(self):
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
wholeF = fb.fil[0]['freqSpecsRangeType'] != 'half'
f_S = fb.fil[0]['f_S']
[w, tau_g] = grpdelay(bb,aa, rc.params['N_FFT'], whole = wholeF)#,
# verbose = self.chkWarnings.isChecked())
F = w / (2 * np.pi) * fb.fil[0]['f_S']
if fb.fil[0]['freqSpecsRangeType'] == 'sym':
tau_g = np.fft.fftshift(tau_g)
F = F - f_S / 2.
if fb.fil[0]['freq_specs_unit'] in {'f_S', 'f_Ny'}:
tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $'
else:
tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega})$'\
+ ' in ' + fb.fil[0]['plt_tUnit'] + r' $ \rightarrow $'
tau_g = tau_g / fb.fil[0]['f_S']
self.ax = self.figure.add_subplot(111)
self.ax.hold(False)
self.ax.plot(F, tau_g)
self.canvas.draw()
def draw_taug(self):
"""
Draw group delay
"""
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
wholeF = fb.fil[0]['freqSpecsRangeType'] != 'half'
f_S = fb.fil[0]['f_S']
# scale = self.cmbUnitsPhi.itemData(self.cmbUnitsPhi.currentIndex())
[tau_g, w] = grpdelay(bb,aa, rc.params['N_FFT'], whole = wholeF)
F = w / (2 * np.pi) * fb.fil[0]['f_S']
if fb.fil[0]['freqSpecsRangeType'] == 'sym':
tau_g = np.fft.fftshift(tau_g)
F = F - f_S / 2.
self.ax.plot(F, tau_g, label = "Group Delay")
self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
self.ax.set_ylabel(r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $')
# widen limits to suppress numerical inaccuracies when tau_g = constant
self.ax.axis(fb.fil[0]['freqSpecsRange'] + [max(min(tau_g)-0.5,0), max(tau_g) + 0.5])
self.mplwidget.redraw()
def draw_taug(self):
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
[w, tau_g] = grpdelay(bb, aa, 2048, whole=True)
F = w * fb.fil[0]['f_S']
self.ax = self.figure.add_subplot(111)
self.ax.hold(False)
self.ax.plot(F, tau_g)
self.canvas.draw()
def calc_tau_g(self):
"""
(Re-)Calculate the complex frequency response H(f)
"""
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
# calculate H_cmplx(W) (complex) for W = 0 ... 2 pi:
self.W, self.tau_g = grpdelay(bb, aa, params['N_FFT'], whole = True,
verbose = self.verbose) # self.chkWarnings.isChecked())
# Zero phase filters have no group delay (Causal+AntiCausal)
if 'baA' in fb.fil[0]:
self.tau_g = np.zeros(self.tau_g.size)
def calc_tau_g(self):
"""
(Re-)Calculate the complex frequency response H(f)
"""
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
# calculate H_cmplx(W) (complex) for W = 0 ... 2 pi:
self.W, self.tau_g = grpdelay(bb, aa, params['N_FFT'], whole = True,
verbose = self.verbose) # self.chkWarnings.isChecked())
# Zero phase filters have no group delay (Causal+AntiCausal)
if 'baA' in fb.fil[0]:
self.tau_g = np.zeros(self.tau_g.size)
def draw_taug(self):
"""
Draw group delay
"""
self.ax.clear()
bb = fb.fil[0]['ba'][0]
aa = fb.fil[0]['ba'][1]
wholeF = fb.fil[0]['freqSpecsRangeType'] != 'half'
f_S = fb.fil[0]['f_S']
[w, tau_g] = grpdelay(bb,
aa,
params['N_FFT'],
whole=wholeF,
verbose=self.chkWarnings.isChecked())
F = w / (2 * np.pi) * fb.fil[0]['f_S']
if fb.fil[0]['freqSpecsRangeType'] == 'sym':
tau_g = np.fft.fftshift(tau_g)
F = F - f_S / 2.
if fb.fil[0]['freq_specs_unit'] in {'f_S', 'f_Ny'}:
tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega}) / T_S \; \rightarrow $'
else:
tau_str = r'$ \tau_g(\mathrm{e}^{\mathrm{j} \Omega})$'\
+ ' in ' + fb.fil[0]['plt_tUnit'] + r' $ \rightarrow $'
tau_g = tau_g / fb.fil[0]['f_S']
#---------------------------------------------------------
line_tau_g, = self.ax.plot(F, tau_g, label="Group Delay")
#---------------------------------------------------------
self.ax.set_title(r'Group Delay $ \tau_g$')
self.ax.set_xlabel(fb.fil[0]['plt_fLabel'])
self.ax.set_ylabel(tau_str)
# widen y-limits to suppress numerical inaccuracies when tau_g = constant
self.ax.set_ylim([max(min(tau_g) - 0.5, 0), max(tau_g) + 0.5])
self.ax.set_xlim(fb.fil[0]['freqSpecsRange'])
self.redraw()