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

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.

Citation Download Citation

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); https://doi.org/10.1117/12.138466

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available