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

Adaptive Thresholding Denoising Algorithm Based on Cross-Validation

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)
Wenqing Huang ; Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha ; Yuxing Dai

In this paper, a novel wavelet-based adaptive thresholding de-noising algorithm is proposed. By using a modified twofold cross-validation, a noise-corrupted signal is divided into two parts: one for estimating, the other one acts as a reference signal, and they make it possible to search for the optimal threshold using steepest gradient method. The numerical results indicate that the proposed optimal-threshold-based denoising algorithm outperforms the standard wavelet shrinkage methods, like Donoho's VisuShrink and SureShrink, in MSE sense. The proposed algorithm does not need any a priori information of the noise-distorted signal, and its convergence speed is high. It fits to real-time signal processing

Published in:

Communications, Circuits and Systems Proceedings, 2006 International Conference on  (Volume:1 )

Date of Conference:

June 2006

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.