By Topic

A new least-squares based method for selection of spectral peaks from the spectrum estimated by sparse representation

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)
Zahedi, A. ; Signal & Syst. Modeling Lab., Iran Univ. of Sci. & Technol., Tehran, Iran ; Kahaei, M.H.

In this paper, a new method for selection of spectral peaks is proposed, when the spectrum is estimated based on sparse representation. The proposed method fits the spectral peaks to the available data using least squares fitting, and then computes the remaining signal. If the remaining signal contains noise only, then all the spectral peaks are detected. Computer simulations verify that the proposed method is comparable to the case where the number of spectral peaks is known.

Published in:

Telecommunications (IST), 2010 5th International Symposium on

Date of Conference:

4-6 Dec. 2010