Efficient architectures for 1-D and 2-D lifting-based wavelet transforms

The lifting scheme reduces the computational complexity of the discrete wavelet transform (DWT) by factoring the wavelet filters into cascades of simple lifting steps that process the input samples in pairs. We propose four compact and efficient hardware architectures for implementing lifting-based...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 52; no. 5; pp. 1315 - 1326
Main Authors:	Hongyu Liao, Mandal, M.Kr, Cockburn, B.F.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Architecture Arrays Buffers Clocks Computational complexity Computer architecture Discrete wavelet transforms Exact sciences and technology Filters Hardware Hoisting Information, signal and communications theory Interleaved codes Recursive Signal and communications theory Signal representation. Spectral analysis Signal, noise Studies Telecommunications and information theory Two dimensional displays Utilization Wavelet Wavelet coefficients Wavelet transforms Discrete wavelet transform recursive architecture Data processing Two dimensional model Buffer memory Buffer system Discrete wavelet transforms Clock Computational complexity Implementation lifting scheme Wavelets Wavelet transformation Recursive method Signal processing dual scan architecture Signal analysis
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!