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Proceedings Paper

Systolic architecture for discrete wavelet transform
Author(s): Henry Y.H. Chuang; Ching-Chung Li; HyungJun Kim
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Paper Abstract

The wavelet transform provides a new method for signal/image analysis where high frequency components are studied with finer time resolution and low frequency components with coarser time resolution. It decomposes a scanned signal into localized contributions for multiscale analysis. This paper presents a systolic architecture which can compute the discrete wavelet transform (DWT) in an efficient manner. When the number of data points windowed in the input is N equals 2m, our DWT systolic architecture is composed of m layers of identical 1-dimensional arrays, which compute the high-pass and the low-pass filtered components simultaneously. Input data string can enter and be processed 'on-the-fly' continuously at the rate of one data point per clock period T. The computation time for a large number of successive DWT problems is NT per DWT.

Paper Details

Date Published: 30 April 1992
PDF: 6 pages
Proc. SPIE 1659, Image Processing and Interchange: Implementation and Systems, (30 April 1992); doi: 10.1117/12.58395
Show Author Affiliations
Henry Y.H. Chuang, Univ. of Pittsburgh (United States)
Ching-Chung Li, Univ. of Pittsburgh (United States)
HyungJun Kim, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 1659:
Image Processing and Interchange: Implementation and Systems
Ronald B. Arps; William K. Pratt, Editor(s)

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