Med Biol Eng Comput - Directional dual-tree complex wavelet packet transforms for processing quadrature signals.

Tópicos

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Resumo

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.

Resumo Limpo

quadratur signal contain inphas quadraturephas compon use mani signal process applic everi field scienc engin specif doppler ultrasound system use evalu cardiovascular disord noninvas also result quadratur format signal order obtain direct blood flow inform quadratur output preprocess use method asymmetr symmetr phase filter techniqu result direct signal can employ order detect asymptomat embol signal caus small emboli indic possibl futur stroke cerebr circul various transformbas method fourier wavelet frequent use process embol signal howev time fourier discret wavelet transform appropri analysi embol signal due nonstationari timefrequ behavior altern discret wavelet packet transform can perform adapt decomposit timefrequ axi studi direct discret wavelet packet transform abil map direct inform process quadratur signal less comput complex exist wavelet packetbas method introduc perform propos method examin detail use singlefrequ synthet narrowband embol quadratur signal

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