Methods for Estimating the Discrete Rhythmic Structure of Cyclic Random Processes Using Adaptive Interpolation

Author:

Lupenko SerhiiORCID,Lupenko AnatoliyORCID,Lytvynenko IaroslavORCID,Martsenyuk VasylORCID

Publisher

Springer International Publishing

Reference20 articles.

1. Gardner, W.A., Napolitano, A., Paura, L.: Cyclostationarity: half a century of research. Signal Process. — 2005 86, 639–697 (2006)

2. Gardner, W.A., Archer, T.L.: Exploitation of cyclostationarity for identifying the Volterra kernels of non–linear systems. IEEE Trans. Inf. Theor. 39(2), 535–542 (1993)

3. Gardner, W.A., Brown, W.A.: Fraction–of–time probability for time–series that exhibit cyclostationarity. Signal Process. 23, 273–292 (1991)

4. Gardner, W.A., Spooner, C.M.: Higher–order cyclostationarity. In: International Symposium on Information Theory and Applications, ISITA 1990, Honolulu, HI, pp. 355–358 (1990)

5. Gardner, W.A., Archer, T.L.: Exploitation of cyclostationarity for identifying the Volterra kernels of non-linear systems. IEEE Trans. Inf. Theor. 39(2), 535–542 (1993)

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