allan_variance.py File Reference

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Classes
class	allan_variance.NoiseCoefficients

Namespaces
namespace	allan_variance

Functions
Tuple[np.ndarray, np.ndarray]	allan_variance.compute_allan_variance (np.ndarray timeseries, float tau0, Optional[int] max_clusters=None)
NoiseCoefficients	allan_variance.fit_noise_coefficients (np.ndarray tau_arr, np.ndarray sigma2_arr)
float	allan_variance.measurement_uncertainty (float tau, NoiseCoefficients coeffs, float voltage=0.0, float sigma_base=1e-3)
Tuple[NoiseCoefficients, np.ndarray, np.ndarray]	allan_variance.analyze_sensor_noise (np.ndarray timeseries, float tau0=0.01)

Variables
	allan_variance.logger = logging.getLogger(__name__)
int	allan_variance.n = 10000
float	allan_variance.tau0 = 0.01
float	allan_variance.t = np.arange(n) * tau0
float	allan_variance.white = np.random.randn(n) * 0.01
	allan_variance.rw = np.cumsum(np.random.randn(n) * 0.001)
float	allan_variance.x = white + rw
	allan_variance.coeffs
	allan_variance.tau_arr
	allan_variance.sigma2_arr
float	allan_variance.sigma_1s = measurement_uncertainty(1.0, coeffs)