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

Optimal techniques for constraint based signal restoration and image reconstruction

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

2 Author(s)
Leahy, R.M. ; University of Southern California, U.S.A. ; Goutis, C.E.

A general method for the optimization of convex or concave cost functions over the intersection of convex constraint sets is described for applications in signal reconstruction and restorarion. A unique continuous function is obtained, under certain conditions, by employing Fenchel's duality theorem to give a finite dimensional dual problem. This approach allows the solution of very complex constrained problems by separating the constraints into those related to the solution and those related to additive noise statistics. The method is applied to computed tomography with noisy data of which the noise covariance and bounds on the solution are known approximately. A fast implementation of the required optimization procedure is given and the resulting solution is shown to be significantly better than a suboptimal feasible solution.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.  (Volume:10 )

Date of Conference:

Apr 1985

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.