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research article

On the Hilbert Transform of Wavelets

Chaudhury, Kunal Narayan
•
Unser, Michael  
2011
IEEE Transactions on Signal Processing

A wavelet is a localized function having a prescribed number of vanishing moments. In this correspondence, we provide precise arguments as to why the Hilbert transform of a wavelet is again a wavelet. In particular, we provide sharp estimates of the localization, vanishing moments, and smoothness of the transformed wavelet. We work in the general setting of non-compactly supported wavelets. Our main result is that, in the presence of some minimal smoothness and decay, the Hilbert transform of a wavelet is again as smooth and oscillating as the original wavelet, whereas its localization is controlled by the number of vanishing moments of the original wavelet. We motivate our results using concrete examples.

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Type
research article
DOI
10.1109/TSP.2010.2103072
Web of Science ID

WOS:000290810100044

Author(s)
Chaudhury, Kunal Narayan
Unser, Michael  
Date Issued

2011

Publisher

IEEE

Published in
IEEE Transactions on Signal Processing
Volume

59

Start page

1890

End page

1894

Subjects

Hilbert transform

•

localization

•

smoothness

•

vanishing moments

•

wavelets

URL

URL

http://bigwww.epfl.ch/publications/chaudhury1102.html

URL

http://bigwww.epfl.ch/publications/chaudhury1102.pdf

URL

http://bigwww.epfl.ch/publications/chaudhury1102.ps
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIB  
Available on Infoscience
December 16, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/74098
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