4 October 1995 Wavelet transform: fundamentals, applications, and implementation using acousto-optic correlators
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Proceedings Volume 2643, Acousto-Optics and Applications II; (1995); doi: 10.1117/12.222751
Event: Acousto-Optics and Applications VI, 1995, Gdansk-Jurata, Poland
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Casimer M. DeCusatis, J. Koay, Daniel M. Litynski, Pankaj K. Das, "Wavelet transform: fundamentals, applications, and implementation using acousto-optic correlators", Proc. SPIE 2643, Acousto-Optics and Applications II, (4 October 1995); doi: 10.1117/12.222751; http://dx.doi.org/10.1117/12.222751

Signal processing

Wavelet transforms



Optical correlators

Filtering (signal processing)

Electronic filtering


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