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

A New Prediction Based Adaptive Median Filter for Restoration of Degraded Audio Signals

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)
Manikandan, S. ; Sri Krishna Coll. of Eng. & Technol., Coimbatore ; Ebenezer, D.

A Prediction based adaptive median filtering algorithm is proposed for restoration of audio signals. This algorithm consists of prediction, detection and adaptive median filtering stages. The proposed algorithm is efficient in detection and suppression of degradations in audio signals compared to the weighted median filter, recursive weighted median filter, adaptive median filters, model based approaches, wavelet approach and SD-ROM algorithm. These algorithms are also effective for the restoration of missing data samples. Normalized Least mean square algorithm is used for prediction technique. Large window size may lead to blurring of the signal in which case the window size is selected based on the number of corrupted samples present in the window. This avoids the unwanted filtering of original samples, which may lead to blurring. Computational results produce better SNR compared to other techniques.

Published in:

Signal Processing, Communications and Networking, 2008. ICSCN '08. International Conference on

Date of Conference:

4-6 Jan. 2008

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.