Cross spectrum ML estimate

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/86195

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Lagunas Hernandez, Miguel A.
dc.contributor.author	Santamaría Pérez, María Eugenia
dc.contributor.author	Gasull Llampallas, Antoni
dc.contributor.author	Moreno Bilbao, M. Asunción
dc.date	1985
dc.identifier.citation	Lagunas, M., Santamaría, M., Gasull, A., Moreno, A. Cross spectrum ML estimate. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "ICASSP 1985: Proceedings ICASSP 85 IEEE International Conference on Acoustics, Speech, and Signal Processing: march 26-29, 1985: Hyatt Regency Hotel, Tampa, Florida". Tampa, Florida: Institute of Electrical and Electronics Engineers (IEEE), 1985, p. 77-80.
dc.identifier.citation	10.1109/ICASSP.1985.1168503
dc.identifier.uri	http://hdl.handle.net/2117/86195
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1168503
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Spectrum analysis
dc.subject	Band pass filters
dc.subject	Bandwidth
dc.subject	Density measurement
dc.subject	Filter bank
dc.subject	Anàlisi espectral
dc.title	Cross spectrum ML estimate
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This work reports how to include general concepts of the one-dimensional MLM procedure in a two-channel problem of cross-spectrum estimation. It is shown in the sequel that there is no any problem in extrapolating the well-known procedures for auto-spectrum estimation to the cross-spectrum, if the original procedure can be explained as a filter bank analysis procedure. The resulting cross-spectrum estimate looks formally to satisfy the excellent features which the normalized maximum likelihood procedure, reported previously by the authors, does in the auto-spectrum problem as concerns with resolution a low-side lobe behavior.
dc.description.abstract	Peer Reviewed

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