A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multirate systems and filter banks
Multirate systems and filter banks
A VLSI architecture for lifting-based forward and inverse wavelettransform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Flipping structure: an efficient VLSI architecture for lifting-based discrete wavelet transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
Lifting factorization-based discrete wavelet transform architecture design
IEEE Transactions on Circuits and Systems for Video Technology
Analysis of Lifting and B-Spline DWT Implementations for Implantable Neuroprosthetics
Journal of Signal Processing Systems
A Block-Based Architecture for Lifting Scheme Discrete Wavelet Transform
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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Based on B-spline factorization, a new category of architectures for Discrete Wavelet Transform (DWT) is proposed in this paper. The B-spline factorization mainly consists of the B-spline part and the distributed part. The former is proposed to be constructed by use of the direct implementation or Pascal implementation. And the latter is the part introducing multipliers and can be implemented with the Type-I or Type-II polyphase decomposition. Since the degree of the distributed part is usually designed as small as possible, the proposed architectures could use fewer multipliers than previous arts, but more adders would be required. However, many adders can be implemented with smaller area and lower speed because only few adders are on the critical path. Three case studies, including the JPEG2000 default (9, 7) filter, the (6, 10) filter, and the (10, 18) filter, are given to demonstrate the efficiency of the proposed architectures.