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

Noise robust AM_FM demodulation using least- squares truncated power series approximation

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)
Wooi-Boon Goh ; Nanyang Technol. Univ., Singapore

This paper describes a parametric approach for demodulating multicomponent AM-FM sinusoidal signals. The parametric model consist of several truncated power series whose coefficients are estimated using linear least-square minimisation cast within an iterative parameter-substitution framework. It is shown that the proposed technique for AM-FM estimation is relatively robust to background noise compared to other techniques such as the smoothed energy operator separation algorithm and the Hilbert transform method.

Published in:

Information, Communications & Signal Processing, 2007 6th International Conference on

Date of Conference:

10-13 Dec. 2007

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.