The spectral correlation theory of cyclostationary time-series

作者: William A. Gardner

DOI: 10.1016/0165-1684(86)90092-7

关键词: Ambiguity functionCyclostationary processSpectral signal-to-noise ratioCorrelation function (statistical mechanics)Spectral lineMathematicsMaximum entropy spectral estimationSpectral envelopeMathematical analysisPeriodic function

摘要: Abstract A spectral correlation theory for cyclostationary time-series is introduced. It established that a if and only there exists quadratic time-invariant transformation generates lines, this so the exhibits correlation. Fundamental properties of characterizing function are developed. These include effects periodic modulation periodically time-variant linear filtering. Relationships between radar ambiguity Wigner-Ville distribution explained. The Rice's representation bandpass derived. generalization Wiener relation from density to developed, generalizations aliasing formula time-sampling, frequency conversion amplitude modulation,

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