Spectral analysis of signals exhibiting nonstationary stochastic time-shifts

Spectral analysis of signals exhibiting nonstationary stochastic time-shifts

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...

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Veröffentlicht in:IEEE signal processing letters 2004-07, Vol.11 (7), p.629-632
1. Verfasser: Oliaei, O.
Format: Artikel
Sprache:eng
Schlagworte:
Autocorrelation
Fourier transforms
H infinity control
Infinity
Mathematical analysis
Noise
Phase noise
Random processes
Signal processing
Spectra
Spectral analysis
Statistical analysis
Stochastic processes
Stochastic resonance
Stochastic systems
Stochasticity
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Zusammenfassung: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2004.830121