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| N = 100 # number of samples | |
| L = 1000 # length of each sample (number of values for each sine wave) | |
| T = 20 # width of the wave | |
| x = np.empty((N,L), np.float32) # instantiate empty array | |
| x[:] = np.arange(L)) + np.random.randint(-4*T, 4*T, N).reshape(N,1) | |
| y = np.sin(x/1.0/T).astype(np.float32) |
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Yeah - removing that error will significantly boost the credibility of your article