DocumentCode
2976252
Title
Higher-order characterization of linear time-variant systems operating on generalized almost-cyclostationary signals
Author
Izzo, Luciano ; Napolitano, Antonio
Author_Institution
Dipt. di Ingegneria Elettronica & delle Telecomunicazioni, Naples Univ., Italy
fYear
1999
fDate
1999
Firstpage
375
Lastpage
379
Abstract
In this paper, the higher-order characterization of linear time-variant systems in the time domain is introduced in the fraction-of-time probability framework. Specifically, the Nth-order system temporal moment function is defined as the operator that transforms the almost-periodic component of the input Nth-order lag product into the almost-periodic component of the output Nth-order lag product. The proposed characterization turns out to be useful to analyze systems operating on almost-cyclostationary or, more generally, on generalized almost-cyclostationary signals since their lag products can be decomposed into can almost-periodic component and a residual term
Keywords
higher order statistics; linear systems; probability; signal processing; time-domain analysis; Nth-order system temporal moment function; almost cyclostationary signals; almost-periodic component; fraction-of-time probability framework; generalized almost-cyclostationary signals; higher-order characterization; lag product; linear time-variant systems; residual term; Chirp; Context; Delay; Fourier series; Frequency domain analysis; Parameter estimation; Signal analysis; Signal processing; Statistics; Telecommunications;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Caesarea
Print_ISBN
0-7695-0140-0
Type
conf
DOI
10.1109/HOST.1999.778762
Filename
778762
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