Continuous wavelet transform of 1D signals by Fourier filtering

H. John Caulfield; Harold H. Szu

doi:10.1117/12.138466

1 October 1992 Continuous wavelet transform of 1-D signals by Fourier filtering

H. John Caulfield, Harold H. Szu

Author Affiliations +

Proceedings Volume 1705, Visual Information Processing; (1992) https://doi.org/10.1117/12.138466
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A true continuous wavelet transform (CWT) must be continuous in both shift and scale. By a continuous anamorphic transformation of a one-dimensional (1D) signal and a suitable choice of kernel or filter, we can allow a normal two-dimensional (2D) optical Fourier transform image processor to perform a CWT.

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H. John Caulfield and Harold H. Szu "Continuous wavelet transform of 1-D signals by Fourier filtering", Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138466; https://doi.org/10.1117/12.138466

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