Bayesian iterative method for blind deconvolution

Alessandro Neri; Gaetano Scarano; Giovanni Jacovitti

doi:10.1117/12.49777

1 December 1991 Bayesian iterative method for blind deconvolution

Alessandro Neri, Gaetano Scarano, Giovanni Jacovitti

Author Affiliations +

Proceedings Volume 1565, Adaptive Signal Processing; (1991) https://doi.org/10.1117/12.49777
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

Blind deconvolution is a typical solution to unknown LSI system inversion problems. When only the output is available, second order statistics are not sufficient to retrieve the phase of the LSI system, so that some form of higher-order analysis has to be employed. In this work, a general iterative solution based on a Bayesian approach is illustrated, and some cases both for mono and bidimensional applications are discussed. The method implies the use of non second-order statistics (rather than higher-order statistics), tuned to specific a priori statistical models. The Bayesian approach yields specific solutions corresponding to known techniques, such as MED deconvolution employed in seismic processing, and more sophisticated procedures for non-independent identically distributed (for instance Markovian) inputs.

Citation Download Citation

Alessandro Neri, Gaetano Scarano, and Giovanni Jacovitti "Bayesian iterative method for blind deconvolution", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); https://doi.org/10.1117/12.49777

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE