@inproceedings{85f1512f512e4d02b27ee1ce01498d58,
title = "Detection and classification of cyclostationary signals via cyclic-HOS: a unified approach",
abstract = "Detection and classification of cyclostationary signals in noise of unknown distribution is addressed and novel tests for cyclostationarity are proposed. Both cases of known and unknown signal statistics are considered. The proposed approaches exploit the asymptotic normality of sample cyclic- cumulant and polyspectrum estimators for deriving asymptotically optimal X2 tests. Simpler, but generally suboptimal versions are also presented. Simulations are performed to test the proposed algorithms and illustrate their insensitivity to any stationary noise as well as the ability of higher-than second-order schemes to suppress cyclostationary Gaussian interferences of unknown covariance.",
author = "Dandawate, {Amod V.} and Giannakis, {Georgios B.}",
year = "1992",
doi = "10.1117/12.130939",
language = "English (US)",
isbn = "081940943X",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Publ by Int Soc for Optical Engineering",
pages = "315--326",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Advanced Signal Processing Algorithms, Architectures, and Implementations III ; Conference date: 19-07-1992 Through 21-07-1992",
}