Title :
Flicker noise and the estimation of the Allan variance
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fDate :
7/1/1991 12:00:00 AM
Abstract :
Flicker noise is a random process observed in a variety of contexts, including current fluctuations in metal film and semiconductor devices, loudness fluctuations in speech and music, and neurological patterns. The quadratic-mean convergence of appropriate estimates of the Allan variance for flicker noise is established when the latter is modeled as a stochastic process with stationary increments. A precise asymptotic expression of the mean-square error is given along with the rate of convergence
Keywords :
convergence; random noise; stochastic processes; Allan variance estimation; convergence rate; flicker noise; mean-square error; quadratic-mean convergence; random process; stochastic process; 1f noise; Brownian motion; Convergence; Fluctuations; Random processes; Semiconductor device noise; Semiconductor devices; Semiconductor films; Speech; Stochastic processes;
Journal_Title :
Information Theory, IEEE Transactions on
