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DeutschFile:Periodogram.svg
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Summary
| Description | English: A power spectrum of two sinusoidal basis functions, calculated by the periodogram method. The significance of basis functions is that there is no spectral leakage into the neighboring frequency bins. |
| Date | |
| Source | Own work based on code from File:Periodogram.png by Kirlf (talk · contribs) |
| Author | Ixfd64 |
Source code
import numpy as np from scipy import signal import matplotlib.pyplot as plt w_1 = 30 # frequency of the 1st component of the signal (Hz) w_2 = 50 # frequency of the 2nd component of the signal (Hz) a = 1.1 # magnitude of the 1st component of the signal b = 0.6 # magnitude of the 2nd component of the signal t = np.array([i for i in range(1, 301)]) / 1000 # time samples (s) fs = 1 / (t[1] - t[0]) # sampling frequency (Hz) x = a * np.cos(2 * np.pi * w_1 * t) + b * np.sin(2 * np.pi * w_2 * t) # considered signal f, Pxx_den = signal.periodogram(x, fs=fs, scaling='spectrum') plt.subplots(1, 1, figsize=(6, 4), dpi=250) plt.stem(f[:50], Pxx_den[:50], '-') plt.ylabel('Spectrum') plt.xlabel('Frequencies (Hz)') plt.title('Periodogram') plt.grid(True) plt.savefig("Periodogram.svg") Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:57, 2 May 2023 | | 540 × 360 (42 KB) | Ixfd64 | Uploaded own work with UploadWizard |
File usage
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Global file usage
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