File:Periodogram.svg

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Summary

Description
English: A power spectrum of two sinusoidal basis functions, calculated by the periodogram method.
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

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w:en:Creative Commons
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Under the following conditions:
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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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2 May 2023

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Date/TimeThumbnailDimensionsUserComment
current21:57, 2 May 2023Thumbnail for version as of 21:57, 2 May 2023540 × 360 (42 KB)Ixfd64Uploaded own work with UploadWizard
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