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Proceedings Paper

Wavelet transform: fundamentals, applications, and implementation using acousto-optic correlators
Author(s): Casimer M. DeCusatis; J. Koay; Daniel M. Litynski; Pankaj K. Das
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Paper Abstract

In recent years there has been a great deal of interest in the use of wavelets to supplement or replace conventional Fourier transform signal processing. This paper provides a review of wavelet transforms for signal processing applications, and discusses several emerging applications which benefit from the advantages of wavelets. The wavelet transform can be implemented as an acousto-optic correlator; perfect reconstruction of digital signals may also be achieved using acousto-optic finite impulse response filter banks. Acousto-optic image correlators are discussed as a potential implementation of the wavelet transform, since a 1D wavelet filter bank may be encoded as a 2D image. We discuss applications of the wavelet transform including nondestructive testing of materials, biomedical applications in the analysis of EEG signals, and interference excision in spread spectrum communication systems. Computer simulations and experimental results for these applications are also provided.

Paper Details

Date Published: 4 October 1995
PDF: 21 pages
Proc. SPIE 2643, Acousto-Optics and Applications II, (4 October 1995); doi: 10.1117/12.222751
Show Author Affiliations
Casimer M. DeCusatis, IBM Corp. (United States)
J. Koay, Rensselaer Polytechnic Institute (United States)
Daniel M. Litynski, U.S. Military Academy (United States)
Pankaj K. Das, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 2643:
Acousto-Optics and Applications II
Antoni Sliwinski; Piotr Kwiek; Bogumil B. J. Linde; A. Markiewicz, Editor(s)

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