Title :
Spectral analysis of signals experiencing nonstationary stochastic time-shifts
Author_Institution :
Motorola Labs., Schaumburg, IL, USA
Abstract :
A spectral analysis of signals experiencing nonstationary stochastic time-shifts also known as jitters or phase noise, is presented. Without referring to the notion of phase noise spectrum, we derive explicit formulas for the average spectrum of such signals arising in various applications, in particular mixers and data converters.
Keywords :
Fourier transforms; jitter; phase noise; spectral analysis; statistical analysis; stochastic processes; average spectrum; data converters; explicit formulas; jitters; mixers applications; nonstationary stochastic time-shifts; phase noise spectrum; spectral analysis; Autocorrelation; Fourier transforms; Frequency; Phase noise; Random processes; Signal design; Signal processing; Spectral analysis; Stochastic processes; Stochastic resonance;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328171
