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import matplotlib.pyplot as plt
from scipy import signal
def visualize_sync_signal(s1, s2, delay, offset=0, window_size = 20, over_sampling = 10):
os = over_sampling
s1_show = signal.resample(s1, s1.shape[0]*os)
s2_show = signal.resample(s2, s2.shape[0]*os)
if(delay < 0):
print("negativ delay", delay)
delay_abs = abs(delay)
s1_idx_start = offset + delay_abs
s1_idx_end = offset + window_size + delay_abs
s2_idx_start = offset
s2_idx_end = offset + window_size
s1_idx_start = int(s1_idx_start * os)
s1_idx_end = int(s1_idx_end * os)
s2_idx_start = int(s2_idx_start * os)
s2_idx_end = int(s2_idx_end * os)
plt.plot(1 + s1_show[s1_idx_start:s1_idx_end], label = "s1")
plt.plot(-1 + s2_show[s2_idx_start:s2_idx_end], label = "s2")
plt.legend()
plt.show()
elif(delay >= 0):
print("positive delay", delay)
s1_idx_start = offset
s1_idx_end = offset + window_size
s2_idx_start = offset + delay
s2_idx_end = offset + window_size + delay
s1_idx_start = int(s1_idx_start * os)
s1_idx_end = int(s1_idx_end * os)
s2_idx_start = int(s2_idx_start * os)
s2_idx_end = int(s2_idx_end * os)
plt.plot(1 + s1_show[s1_idx_start:s1_idx_end], label = "s1")
plt.plot(-1 + s2_show[s2_idx_start:s2_idx_end], label = "s2")
plt.legend()
plt.show()
def visualize_signals(s1, s2, offset=0, window_size = 20):
s1_idx_start = offset
s1_idx_end = offset + window_size
s2_idx_start = offset
s2_idx_end = offset + window_size
plt.subplot(211); plt.plot(s1[s1_idx_start:s1_idx_end], label = "s1"), plt.legend()
plt.subplot(212); plt.plot(s2[s2_idx_start:s2_idx_end], label = "s2"), plt.legend()
plt.show()
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