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Proceedings Paper

Architectural support for fast wavelet transform
Author(s): Charles C. Chang; Jyh-Charn S. Liu; Andrew K. Chan
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Paper Abstract

Wavelet transform is being used for many real-time signal and image processing applications. Many applications can tolerate certain level of compromise in accuracy for a faster speed. In this paper we propose a wavelet processor architecture to support approximated calculation of the wavelet transform.Our design uses the fixed point number system to simplify the hardware design and the computation procedures. By using a table look-up technique, one can predict the range of an output coefficient, so that the computation of coefficients need not be completed. This technique can be efficiently implemented in the wavelet processor for in-line thresholding. By adjusting the thresholding level, one can achieve different levels of computational accuracy and speed. Our simulation results on processing of speech and musical data show that this thresholding technique is quite effective and flexible.

Paper Details

Date Published: 3 April 1997
PDF: 8 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271763
Show Author Affiliations
Charles C. Chang, Texas A&M Univ. (United States)
Jyh-Charn S. Liu, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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