On infinite past predictability of cyclostationary signals

This paper explores the asymptotic spectral decomposition of periodically Toeplitz matrices with finite summable elements. As an alternative to polyphase decomposition and other approaches based on Gladyshev representation, the proposed route exploits the Toeplitz structure of cyclic autocorrelation...

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Detalles Bibliográficos
Autores: Riba Sagarra, Jaume|||0000-0002-5515-8169, Vila Insa, Marc|||0000-0002-7032-1411
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/366797
Acceso en línea:https://hdl.handle.net/2117/366797
https://dx.doi.org/10.1109/LSP.2022.3149705
Access Level:acceso abierto
Palabra clave:Cyclostationary waves
Signal processing -- Digital techniques
Toeplitz matrices
Szegö’s theorem
Cyclostationarity
Cyclic Wiener filtering
Periodically Toeplitz matrices
Spectral coherence
Tractament del senyal --Tècniques digitals
Toeplitz, Operadors de
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions
Descripción
Sumario:This paper explores the asymptotic spectral decomposition of periodically Toeplitz matrices with finite summable elements. As an alternative to polyphase decomposition and other approaches based on Gladyshev representation, the proposed route exploits the Toeplitz structure of cyclic autocorrelation matrices, thus leveraging on known asymptotic results and providing a more direct link to the cyclic spectrum and spectral coherence. As a concrete application, the problem of cyclic linear prediction is revisited, concluding with a generalized Kolmogorov-Szeg theorem on the predictability of cyclostationary signals. These results are finally tested experimentally in a prediction setting for an asynchronous mixture of two cyclostationary pulse-amplitude modulation signals.