allan-tools

Allantools (python lib) portage to Rust

This library allows easy computation of Allan & related statistics.
These statistics are mostly used in system stability studies.

Variances / Deviations

Compute Allan Deviation over a raw data serie

rust use allantools::*; let taus = tau::generator(tau::TauAxis::Decade, 10000); let (adev, errs) = deviation(&data, taus, Deviation::Allan, false, false);

Improve statiscal confidence by using overlapped formulas

rust let taus = tau::generator(tau::TauAxis::Decade, 10000); let (adev, errs) = deviation(&data, taus, Deviation::Allan, false, true);

Compute Allan Deviation over a serie of fractionnal error

rust let taus = tau::generator(tau::TauAxis::Decade, 10000); let ( adev, errs) = deviation(&data, taus, Deviation::Allan, true, false); let (oadev, errs) = deviation(&data, taus, Deviation::Allan, true, true);

Integrated data & noise generators

Some data generators were integrated or develpped for testing purposes:

• White noise generator produces scaled normal distribution

rust let psd = -140; // [dBcHz] let fs = 10.0E6; // [Hz] let x = allantools::noise::white_noise(psd, fs, 10000); // 10k samples

Some data generators were integrated or develpped for testing purposes:

• Pink noise generator produces a -10dB/dec shape when raw data is considered, or a -5dB/dec shape if we're considering fractionnal data

rust let psd = -140; // [dBcHz] let fs = 10.0E6; // [Hz] let a0_1hz = -10; // [dB] = level @ 1Hz let x = allantools::noise::pink_noise(a0_1hz, psd, fs, 1024); // 1k samples

Tools / utilities

TODO