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

Efficient realizations of the discrete and continuous wavelet transforms: from single chip implementations to mappings on SIMD array computers

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)
Chakrabarti, C. ; Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA ; Vishwanath, M.

This paper presents a wide range of algorithms and architectures for computing the 1D and 2D discrete wavelet transform (DWT) and the 1D and 2D continuous wavelet transform (CWT). The algorithms and architectures presented are independent of the size and nature of the wavelet function. New on-line algorithms are proposed for the DWT and the CWT that require significantly small storage. The proposed systolic array and the parallel filter architectures implement these on-line algorithms and are optimal both with respect to area and time (under the word-serial model). Moreover, these architectures are very regular and support single chip implementations in VLSI. The proposed SIMD architectures implement the existing pyramid and a'trous algorithms and are optimal with respect to time

Published in:

Signal Processing, IEEE Transactions on  (Volume:43 ,  Issue: 3 )

Date of Publication:

Mar 1995

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.