This paper extends the Bayesian direct deconvolution method to the case in which the convolution kernel depends on few unknown nuisance parameters. Moreover, an acceleration procedure is proposed that drastically reduces the computational burden. Finally, the implementation of the method by means of the fast Fourier transform is fully discussed in the multidimensional case. © 1990 Springer-Verlag New York Inc.

Barone, P., Rossi, C. (1990). Deconvolution with partially known kernel of nonnegative signals. MACHINE VISION AND APPLICATIONS, 3(2), 107-115 [10.1007/BF01212194].

Deconvolution with partially known kernel of nonnegative signals

ROSSI, CARLA
1990-01-01

Abstract

This paper extends the Bayesian direct deconvolution method to the case in which the convolution kernel depends on few unknown nuisance parameters. Moreover, an acceleration procedure is proposed that drastically reduces the computational burden. Finally, the implementation of the method by means of the fast Fourier transform is fully discussed in the multidimensional case. © 1990 Springer-Verlag New York Inc.
1990
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore MED/01 - STATISTICA MEDICA
English
cytofluorimetry; EM algorithm; fast convolution
Barone, P., Rossi, C. (1990). Deconvolution with partially known kernel of nonnegative signals. MACHINE VISION AND APPLICATIONS, 3(2), 107-115 [10.1007/BF01212194].
Barone, P; Rossi, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/54944
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