Related Experiment Video
Updated: Jan 29, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
Published on: August 28, 2019
Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis
Abstract:
High-performance frequency standards are affected by power-law noises and characterized by structure functions (i.e., variances). These variances with specified averaging time quantify the frequency stability of the oscillator. To improve the stability estimated from the measured data and extend its maximum averaging time, a method called "StONA" (oscillator noise analysis under stochastic restrictions) is proposed based on convex optimization techniques. StONA also measures the intensity coefficients of noise processes as a by-product of extending averaging time. To test the method against real data, we recompute the distribution regions of total and Hadamard variances estimated from 14 days of satellite clock data and predict the stability of extended averaging time. The recomputed and predicted variances are inconsistent with the ones estimated from 168 days of data and have smaller uncertainty than those estimated from 84 days of time deviations.
More Related Videos
10:22Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
Published on: December 6, 2016
09:23Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
Related Concept Videos
Oscillations In An LC Circuit
Forced Oscillations
Predicting Molecular Geometry
Nuclear Stability
To hold positively charged protons together...
Damped Oscillations
Although friction and other non-conservative...
RNA Stability