Created
January 5, 2017 02:43
-
-
Save BowenFu/215b4ac29eaf61005cbaf141f16b2760 to your computer and use it in GitHub Desktop.
matplotlib- amplitude envelope
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.signal import hilbert, chirp | |
| duration = 1.0 | |
| fs = 400.0 | |
| samples = int(fs*duration) | |
| t = np.arange(samples) / fs | |
| signal = chirp(t, 20.0, t[-1], 100.0) | |
| signal *= (1.0 + 0.5 * np.sin(2.0*np.pi*3.0*t) ) | |
| analytic_signal = hilbert(signal) | |
| amplitude_envelope = np.abs(analytic_signal) | |
| instantaneous_phase = np.unwrap(np.angle(analytic_signal)) | |
| instantaneous_frequency = np.diff(instantaneous_phase) / (2.0*np.pi) * fs | |
| fig = plt.figure() | |
| ax0 = fig.add_subplot(211) | |
| ax0.plot(t, signal, label='signal') | |
| ax0.plot(t, amplitude_envelope, label='envelope') | |
| ax0.set_xlabel("time in seconds") | |
| ax0.legend() | |
| ax1 = fig.add_subplot(212) | |
| ax1.plot(t[1:], instantaneous_frequency) | |
| ax1.set_xlabel("time in seconds") | |
| ax1.set_ylim(0.0, 120.0) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment