def get_stimulus(pattern_name="iso"):
if use_matlab_stimulus:
D = loadmat('examples/iso44_signal')
sr = float(D['Fs'][0][0])
s = D['signal'][0] # analytical signal (generated in matlab)
s = Signal(s, sr=sr)
else:
p = get_pattern(pattern_name)
sr = 22050
x, _ = p.as_signal(tempo=120.0,
reps=6.0,
lead_silence=0.0,
sr=sr,
click_freq=1200.0,
with_beat=False,
beat_freq=1800.0,
accented=False)
x = Signal(x, sr=sr)
s = onset_detection_signal(x)
rms = np.sqrt(np.sum(s**2)/len(s))
s *= 0.06/rms
s = Signal(hilbert(s), sr=s.sr)
t = s.time_vector()
dt = 1/s.sr
# print "SR: ", s.sr
return s, t, dt
agogic_pattern = np.array([0, d_star]+[d_prime]*(N-1))
print agogic_pattern
print np.cumsum(agogic_pattern)
p = Pattern(agogic_pattern, numerator=N, denominator=D)
sr = 22050
x, _ = p.as_signal(120, reps=10, sr=sr)
# t = np.arange(len(x))/sr
# plt.plot(t, x)
# plt.show()
x = Signal(x, sr=sr)
x = 0.99*x.normalize()
play_pattern = False
if play_pattern:
play_signal(x)
s = onset_detection_signal(x)
rms = np.sqrt(np.sum(s**2)/len(s))
s *= 0.06/rms
s = Signal(hilbert(s), sr=s.sr)
t = s.time_vector()
dt = 1/s.sr
