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.author
Lagunas Hernandez, Miguel A.
dc.contributor.author
Gasull Llampallas, Antoni
dc.identifier
Lagunas, M., Gasull, A. Improved ML cross-spectral estimation. A: European Signal Processing Conference. "EUSIPCO 1986: Signal processing III: theories and applications proceedings of EUSIPCO-86: Third European Signal Processing Conference: The Hague, The Netherlands: September 2-5, 1986". Barcelona: 0, p. 255-258.
dc.identifier
https://hdl.handle.net/2117/85822
dc.description.abstract
This work deals with the use of dedicated filters for cross-spectrum estimation. Basically, the ML cross-spectral estimator can be obtained as the natural extension of the Normalized Maximurn Likelihood procedure, reported previously by the authors, te the measurement of cross-power density for two data registers x(n) and y(nl. As an important improvement in present cross-spectrum estimation, the importance of the selection of the cross-correlation matrix estimator used as a starting point is included.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.title
Improved ML cross-spectral estimation
dc.type
Conference report
