By Topic

The what, how, and why of wavelet shrinkage denoising

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)
Taswell, C. ; Comput.. Toolsmiths, Stanford, CA, USA

Wavelet shrinkage denoising provides a novel method of reducing noise in signals. The author demonstrates 1D and 2D examples, tests the performance of various ideal and practical Fourier- and wavelet-based denoising procedures, and makes recommendations for practitioners. It is is concluded that it is unlikely that one particular wavelet shrinkage denoising procedure will be suitable, no less optimal, for all practical problems. However, it is likely that there will be many practical problems, for which after appropriate experimentation, wavelet-based denoising with either hard or soft thresholding proves to be the most effective procedure. Using wavelet-based denoising of the log-periodogram to estimate the power spectrum might prove to be one such important application with great promise for further development

Published in:

Computing in Science & Engineering  (Volume:2 ,  Issue: 3 )