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