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Proceedings Paper

Unbalancing data with wavelet transformations
Author(s): Brani Vidakovic
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Paper Abstract

Discrete wavelet transformations have become indispensable analytical tools in data compression and data denoising. In this paper we give some empirical accounts of wavelet transformations and propose novel thresholding and wavelet selection methods. This is achieved via connections with measures of inequality, that have been used in economics for a long time. We compare our methods with standard thresholding and wavelet selection procedures.

Paper Details

Date Published: 1 September 1995
PDF: 13 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217638
Show Author Affiliations
Brani Vidakovic, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

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