File:The Colors of Noise.svg
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Original file (SVG file, nominally 576 × 432 pixels, file size: 1.41 MB)
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Summary
| Description |
English: The colors noise as generated by the colorednoise Python package. The figure shows the color coded relative power spectral density (PSD) for Brown, pink, white, blue, and violet noise normalized at 1kHz. Note the slopes of the PSD are -20, -10, 0, 10, 20 (dB/dec) for each noise spectum respectively. |
| Date | |
| Source | Own work |
| Author | AkanoToE |
| Other versions |
Own work based on: The Colors of Noise.png |
Source Code
import colorednoise as cn
import matplotlib.pyplot as plt
from matplotlib import mlab
betas = [-2, -1, 0, 1, 2]
colors = ['violet', 'blue', 'gray', 'pink', 'darkred']
samples = 100*44100
plt.style.use('default')
plt.rc('font', family='serif', size=14)
plt.rc('text', usetex=True)
fig = plt.figure(dpi=300)
plt.annotate(r'\textit{The Colors of Noise}', (1300, 42), fontsize=16)
nfft=2**21
for beta, color in zip(betas, colors):
y = cn.powerlaw_psd_gaussian(beta, samples)
s, f = mlab.psd(y, NFFT=nfft)
plt.semilogx(2e5*f, 4 + 10*np.log10(s/s[4100:4200].mean())
, color=color, lw=0.5)
plt.xlabel('Frequency (Hz)')
plt.ylabel('Power Spectral Density (dB)')
plt.xlim([1e3, 2e5])
plt.ylim([-70, 56])
plt.tight_layout()
if fig.dpi >= 300:
plt.savefig('../fig/The_Colors_of_Noise.svg')
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- 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.
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:41, 26 July 2022 | | 576 × 432 (1.41 MB) | AkanoToE | Uploaded own work with UploadWizard |
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