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Proceedings Paper

Tunable continuous wavelet and frame transforms
Author(s): James F. Scholl; Delmar L. Barker; Harry A. Schmitt; John D. Langan
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Paper Abstract

Continuous wavelet transforms (CWT) and frames have always been useful for noise suppression, edge detection and medical signal processing. However, these transforms are generally shied away from since computational complexity prevents their widespread use. However, recently developed processor technology that uses analog rather than digital signal processing hardware may be the ideal means to implement and apply these algorithms. It is then appropriate to consider new types of frames and continuous wavelet systems. We propose two families of tunable continuous wavelet systems with widely varying frame bounds and scaling behavior, and illustrate examples of computations involving these systems.

Paper Details

Date Published: 4 December 2000
PDF: 12 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408576
Show Author Affiliations
James F. Scholl, Raytheon Systems Co. (United States)
Delmar L. Barker, Raytheon Systems Co. (United States)
Harry A. Schmitt, Raytheon Systems Co. (United States)
John D. Langan, Computational Sensors Corp. (United States)


Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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