Directional dual-tree complex wavelet packet transforms for processing quadrature signals

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• 作者：Gorkem Serbes ; Halil Ozcan Gulcur…
• 关键词：Quadrature signal ; Complex wavelet packet transform ; Embolic signals ; Ultrasound
• 刊名：Medical and Biological Engineering and Computing
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：54
• 期：2-3
• 页码：295-313
• 全文大小：1,855 KB
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• 作者单位：Gorkem Serbes (1)
  Halil Ozcan Gulcur (2)
  Nizamettin Aydin (3)
  
  1. Biomedical Engineering Department, Bahcesehir University, Besiktas, Istanbul, Turkey
  2. Biomedical Engineering Institute, Bogazici University, Kandilli, Istanbul, Turkey
  3. Computer Engineering Department, Faculty of Electrical and Electronics, Yildiz Technical University, Davutpasa, Esenler, 34220, Istanbul, Turkey
  
• 刊物类别：Engineering
• 刊物主题：Biomedical Engineering
  Human Physiology
  Imaging and Radiology
  Computer Applications
  Neurosciences
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1741-0444

文摘

Quadrature signals containing in-phase and quadrature-phase components are used in many signal processing applications in every field of science and engineering. Specifically, Doppler ultrasound systems used to evaluate cardiovascular disorders noninvasively also result in quadrature format signals. In order to obtain directional blood flow information, the quadrature outputs have to be preprocessed using methods such as asymmetrical and symmetrical phasing filter techniques. These resultant directional signals can be employed in order to detect asymptomatic embolic signals caused by small emboli, which are indicators of a possible future stroke, in the cerebral circulation. Various transform-based methods such as Fourier and wavelet were frequently used in processing embolic signals. However, most of the times, the Fourier and discrete wavelet transforms are not appropriate for the analysis of embolic signals due to their non-stationary time–frequency behavior. Alternatively, discrete wavelet packet transform can perform an adaptive decomposition of the time–frequency axis. In this study, directional discrete wavelet packet transforms, which have the ability to map directional information while processing quadrature signals and have less computational complexity than the existing wavelet packet-based methods, are introduced. The performances of proposed methods are examined in detail by using single-frequency, synthetic narrow-band, and embolic quadrature signals.