By Topic

On calculating Sakrison's rate distortion function for classes of parameterized sources

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)
Wolfe, L.B. ; Acquisition Reviews Branch, US Government (GSA), Washington, DC, USA

Sakrison extended Shannon's notion of the rate distortion function to parameterized classes of sources by taking a minimax approach and defining a measure of the minimum rate required for information reconstruction subject to a prescribed fidelity level D. Unfortunately, calculation of Sakrison's rate distortion function may be very difficult because analytic solutions do not generally exist and there has been a lack of a constructive method for finding the rate. However, an approach presented in this correspondence may be used to calculate an approximation to Sakrison's rate distortion function for classes of sources with a finite, discrete input space and a continuous parameter space. The approach gives rise to an algorithm which is shown to be convergent and numerical examples are studied

Published in:

Information Theory, IEEE Transactions on  (Volume:41 ,  Issue: 4 )