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Improved ML cross-spectral estimation

Author
Lagunas, M.; Gasull, A.
Type of activity
Presentation of work at congresses
Name of edition
Third European Signal Processing Conference
Date of publication
1986
Presentation's date
1986-09
Book of congress proceedings
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
First page
255
Last page
258
Repository
http://hdl.handle.net/2117/85822 Open in new window
http://www.eurasip.org/Proceedings/Eusipco/Eusipco1986/EUSIPCO86_VolI.pdf Open in new window
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 in...
Citation
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.
Group of research
GPI - Image and Video Processing Group

Participants

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