By Topic

Characterization of wavelet-based image coding systems for algorithmic fault detection

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)
Costas, L. ; Dept. of Electron. Technol., Vigo Univ., Spain ; Rodriguez-Andina, J.J.

This paper presents a methodology for characterizing the behaviour of wavelet-based image coding systems in the presence of faults. This is a previous step in the development of efficient concurrent error detection techniques for such systems. The faulty behaviour of complex signal processing systems is better described at the algorithmic level (i.e., checking the accomplishment of a given functional property by large blocks of data) rather than using the ''classical'' approach at the structural (i.e., building block) level. Therefore, the issues related to algorithmic fault detection are addressed. Two different platforms for error characterization are presented and their main characteristics are discussed. Experimental results are presented that prove the suitability of the proposed methodology for the target application.

Published in:

Digital System Design, 2005. Proceedings. 8th Euromicro Conference on

Date of Conference:

30 Aug.-3 Sept. 2005