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README.md
README.md
 
 
acf_noise_id_figure.py
acf_noise_id_figure.py
 
 
b1_noise_id_figure.py
b1_noise_id_figure.py
 
 
ci_demo.py
ci_demo.py
 
 
demo_stable32plot.py
demo_stable32plot.py
 
 
gradev-demo.ipynb
gradev-demo.ipynb
 
 
gradev-demo.py
gradev-demo.py
 
 
ieee1139_randomwalk_fm.py
ieee1139_randomwalk_fm.py
 
 
ieee1139_white_fm.py
ieee1139_white_fm.py
 
 
ieee1139_white_pm.py
ieee1139_white_pm.py
 
 
noise-color-demo.ipynb
noise-color-demo.ipynb
 
 
noise-color-demo.py
noise-color-demo.py
 
 
noise-color-kasdin.py
noise-color-kasdin.py
 
 
noise-color_and_PSD.py
noise-color_and_PSD.py
 
 
plot.py
plot.py
 
 
realtime_benchmark.py
realtime_benchmark.py
 
 
rn_noise_id_figure.py
rn_noise_id_figure.py
 
 
stable32plot.py
stable32plot.py
 
 
three-cornered-hat-demo.ipynb
three-cornered-hat-demo.ipynb
 
 
three-cornered-hat-demo.py
three-cornered-hat-demo.py
 
 

README.md

Examples

Examples are provided as Jupyter notebooks, and as Python scripts. Jupyter notebooks can be viewed using the GitHub viewer, and can be run if you have iPython 3.0.0 or greater installed.

  • gradev-demo: Gap-robust allan deviation comparisons.
  • noise-color-demo: Allantools tests with various noise types.
  • three-cornered-hat-demo: Example of using the three-cornered hat method.

The Python script versions can be run from the command line after allantools in installed:

> python noise-color-demo.py