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

Enhancing the performance of the Bayesian Pursuit Algorithm

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)
Deka, B. ; Dept. of Electron. & Commun. Eng., Indian Inst. of Technol., Guwahati, India ; Bora, P.K.

Finding sparse solutions to under-determined systems of linear equations has recently got a plethora of applications in the field of signal processing. It is assumed that an ideal noiseless signal has sufficiently sparse representation. But in practice a noisy version of such signal can only be observed. In this paper, we propose a new initialization scheme and a stopping condition for the recently introduced Bayesian Pursuit Algorithm (BPA) for sparse representation in the noisy settings. Experimental results show that the proposed modifications lead to a better quality of sparse solution and faster rate of convergence over the existing BPA especially at low noise levels.

Published in:

Communications (NCC), 2011 National Conference on

Date of Conference:

28-30 Jan. 2011

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.