Title :
Spectral analysis of signals exhibiting nonstationary stochastic time-shifts
Author_Institution :
Motorola Labs, Motorola Inc., Schaumburg, IL, USA
fDate :
7/1/2004 12:00:00 AM
Abstract :
Signals generated or processed by physical systems are often subject to nonstationary stochastic time-shifts. This effect, also known as phase noise, has traditionally been analyzed using mathematical techniques applicable only to stationary processes. In this letter, we present a spectral analysis of signals experiencing stochastic time-shifts, with the fundamental assumption that the ratio between time-shift and time vanishes as time tends to infinity.
Keywords :
phase noise; random processes; spectral analysis; statistical analysis; stochastic processes; jitter; nonstationary random process; nonstationary stochastic time-shifts; phase noise; signal generation; spectral analysis; Autocorrelation; Fourier transforms; H infinity control; Phase noise; Random processes; Spectral analysis; Statistical analysis; Stochastic processes; Stochastic resonance; Stochastic systems;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.830121