NDLI: Directional dual-tree rational-dilation complex wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Serbes, G. Gulcur, H.O. Aydin, N.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey (Aydin, N.) \|\| Dept. of Biomedi-cal Eng., Bahcesehir Univ., Istanbul, Turkey (Serbes, G.) \|\| Inst. of Biomed. Eng., Bogazici Univ., Istanbul, Turkey (Gulcur, H.O.)
Abstract	Dyadic discrete wavelet transform (DWT) has been used successfully in processing signals having non-oscillatory transient behaviour. However, due to the low Q-factor property of their wavelet atoms, the dyadic DWT is less effective in processing oscillatory signals such as embolic signals (ESs). ESs are extracted from quadrature Doppler signals, which are the output of Doppler ultrasound systems. In order to process ESs, firstly, a pre-processing operation known as phase filtering for obtaining directional signals from quadrature Doppler signals must be employed. Only then, wavelet based methods can be applied to these directional signals for further analysis. In this study, a directional dual-tree rational-dilation complex wavelet transform, which can be applied directly to quadrature signals and has the ability of extracting directional information during analysis, is introduced.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1465
Ending Page	1468
File Size	938684
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943877
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler effect Discrete wavelet transforms Q-factor Wavelet analysis Signal resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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