参考文献:1.G. Ya. Mirskii, Stochastic Interaction Characteristics and their Measurements (Energoizdat, Moscow, 1982) [in Russian]. 2.J. S. Bendat, A. G. Piersol, Random Data: Analysis and Measurement Procedures, 4th ed. (Wiley, 2010).CrossRef MATH 3.J. S. Bendat, A. G. Piersol, Engineering Applications of Correlation and Spectral Analysis, 2nd ed. (Wiley, 1993).MATH 4.W. A. Gardner (ed.), Cyclostationarity in Communications and Signal Processing (IEEE Press, New York, 1994).MATH 5.A. Napolitano, Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications (Wiley-IEEE Press, 2012).CrossRef MATH 6.William A. Gardner, Antonio Napolitano, Luigi Paura, “Cyclostationarity: Half a century of research,” Signal Processing 86, No. 4, 639 (2006), DOI: 10.1016/j.sigpro.2005.06.016.CrossRef MATH 7.I. M. Yavorskyj, Mathematical Models and Analysis of Stochastic Oscillations (FMI NANU, Lviv, 2013) [in Ukrainian]. 8.M. J. Hinich, “A statistical theory of signal coherence,” IEEE J. Oceanic Engineering 25, No. 2, 256 (Apr. 2000), DOI: 10.1109/48.838988.MathSciNet CrossRef 9.W. A. Gardner, Introduction to Random Processes with Application to Signals and Systems (Macmillan, New York, 1985). 10.W. A. Gardner, “On the spectral coherence of nonstationary processes,” IEEE Trans. Signal Process 39, No. 2, 424 (Feb. 1991), DOI: 10.1109/78.80825.CrossRef 11.W. A. Gardner, “Exploitation of spectral redundancy in cyclostationary signals,” IEEE SP Magazine (Signal Processing) 8, No. 2, 14 (Apr. 1991), DOI: 10.1109/79.81007.CrossRef 12.H. L. Hurd, A. Miamee, Periodically Correlated Random Sequences. Spectral Theory and Practice (Wiley–Interscience, New Jersey, 2007), 353 p.CrossRef MATH
作者单位:I. N. Yavorskyj (1) (2) R. Yuzefovych (1) I. Y. Matsko (1) Z. Zakrzewski (2)
1. Karpenko Physico-Mechanical Institute of NASU, Lviv, Ukraine 2. University of Technology and Life Sciences, Bydgoszcz, Poland
刊物类别:Engineering
刊物主题:Communications Engineering and Networks Russian Library of Science
出版者:Allerton Press, Inc. distributed exclusively by Springer Science+Business Media LLC
ISSN:1934-8061
文摘
A coherence function characterizing the correlation between harmonic components of two signals that are described by periodically correlated random processes has been proposed. Such function is shown to be invariant with regard to linear transformations of signals.Aformula for coherence function is concretized for the amplitude- and phase-modulated signals.