Cart (Loading....) | Create Account
Close category search window
 

Efficient computational methods for wavelet domain signal restoration problems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Miller, E.L. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

We present an efficient, wavelet domain algorithm for computing the error variances associated with a wide class of linear inverse problems posed in a maximum a posteriori (MAP) estimation framework. Our method is based on the permutation and subsequent partitioning of the Fisher information matrix into a 2×2 block structure with the lower-right block well approximated as diagonal and significantly larger than the upper-left block. We prove that under appropriate conditions, this diagonal approximation does, in fact, allow for the accurate recovery of the error variances, and we introduce a greedy-type method based on the optimization of a diagonal dominance criterion for determining the “best” partition. We demonstrate the speed of this technique and its accuracy for a set of inverse problems corresponding to a variety of blurring kernels, problem sizes, and noise conditions

Published in:

Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 4 )

Date of Publication:

Apr 1999

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.