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Titel:

Identification of Cycle Frequencies for Correlation Analysis of Cyclostationary Noisy EM Fields

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Russer; J.A.; Baev; A.; Haider; M.; Kuznetsov; Y.; Russer, P.
Abstract:
An accurate characterization of Gaussian stochastic electromagnetic (EM) fields can be achieved by auto- and cross correlation spectra. Multiple probes are required in a measurement setup for obtaining these correlation data. As the amount of data collected in such a measurement can be substantial, principal component analysis (PCA) can be utilized to reduce the complexity in the subsequent data processing and also for separating statistically independent sources. In cyclostationary problems, cy...     »
Kongress- / Buchtitel:
15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)
Kongress / Zusatzinformationen:
Nis, Serbia, 20-22 Oct 2021-10
Verlag / Institution:
IEEE Explore Library
Jahr:
2021
Jahr / Monat:
2021-10
Monat:
Oct
Print-ISBN:
978-1-6654-4443-9
E-ISBN:
978-1-6654-4442-2
Sprache:
en
Volltext / DOI:
doi:10.1109/TELSIKS52058.2021.9606412
WWW:
https://ieeexplore.ieee.org/abstract/document/9606412
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