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Dtic Ada358633%3a Computational Complexity Of The Continuous Wavelet Transform In Two Dimensions by Defense Technical Information Center
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1DTIC ADA358633: Computational Complexity Of The Continuous Wavelet Transform In Two Dimensions
By Defense Technical Information Center
The two-dimensional continuous wavelet transform (CWT) is characterized by a rotation parameter, in addition to the usual translations and dilations. The CWT has been interpreted as space-frequency representation of two-dimensional signals, where the translation corresponds to the position variable, and the inverse of the scale and the rotation, taken together, correspond to the spatial-frequency variable. The integral of the CWT's squared modulus, with respect to all variables, gives the energy of the original signal. Therefore, an integration on a subset of the parameters gives an energy density in the remaining variables. This paper deals with the implementation of the two basic densities, that is, the position (or aspect-angle) and scale-angle densities.
“DTIC ADA358633: Computational Complexity Of The Continuous Wavelet Transform In Two Dimensions” Metadata:
- Title: ➤ DTIC ADA358633: Computational Complexity Of The Continuous Wavelet Transform In Two Dimensions
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA358633: Computational Complexity Of The Continuous Wavelet Transform In Two Dimensions” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Murenzi, Romain - CLARK ATLANTA UNIV GA DEPT OF ENGINEERING - *SIGNAL PROCESSING - *TARGET DETECTION - *WAVELET TRANSFORMS - TWO DIMENSIONAL - TARGET RECOGNITION - ENERGY DENSITY.
Edition Identifiers:
- Internet Archive ID: DTIC_ADA358633
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