Name
Abstract | ||
|---|---|---|
Random processes responsible for phase instability of periodic signals are generally nonstationary. The quantity measured in practice is the time-average of the instantaneous probabilistic spectral density of the signal subject to random phase variation. A mathematically rigorous analysis leading to simple relations between timing jitter and average spectral density is presented. The analysis holds for a wide class of random processes, namely regular, and smooth periodic signals. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ISCAS.2003.1205667 | ISCAS (1) |
Keywords | Field | DocType |
nonstationary random processes,stochastic processes,autocorrelation function,random processes,period jitter,spectral-domain analysis,regular periodic signals,timing jitter/average spectral density relationship,timing jitter extraction,periodic signal phase instability,timing jitter,signal stochastic characteristics,random noise,random phase variation,phase noise,smooth periodic signals,stability,instantaneous probabilistic spectral density time-average,probability,signal processing,spectral density,random process,uncertainty,signal analysis,autocorrelation,random variables | Signal processing,Random variable,Control theory,Stochastic process,Phase noise,Electronic engineering,Spectral density,Jitter,Periodic graph (geometry),Mathematics,Autocorrelation | Conference |
Volume | ISBN | Citations |
1 | 0-7803-7761-3 | 0 |
PageRank | References | Authors |
0.34 | 4 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omid Oliaei | 1 | 75 | 20.09 |