10.1109/MSP.2005.1550194

The Dual-Tree Complex Wavelet Transform

Abstract

Journal PaperThe paper discusses the theory behind the dual-tree transform, shows how complex wavelets with good properties can be designed, and illustrates a range of applications in signal and image processing. The authors use the complex number symbol C in CWT to avoid confusion with the often-used acronym CWT for the (different) continuous wavelet transform. The four fundamentals, intertwined shortcomings of wavelet transform and some solutions are also discussed. Several methods for filter design are described for dual-tree CWT that demonstrates with relatively short filters, an effective invertible approximately analytic wavelet transform can indeed be implemented using the dual-tree approach

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oai:scholarship.rice.edu:1911/20355Last time updated on 6/11/2012

This paper was published in DSpace at Rice University.

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