A new wavelet transform method for processing Doppler signals

Gorkem Serbes, N. Aydin
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引用次数: 3

Abstract

Stroke, which is seen nowadays frequently, is the rapidly developing loss of brain functions due to a disturbance in the blood vessels supplying blood to the brain. The main reason for the stroke is the emboli which are particles bigger than red blood cells. Emboli can be detected by Doppler ultrasound. Embolic Doppler ultrasound signals are short duration transient like signals. These signals can be obtained from in-phase and quadrature-phase parts of the quadrature Doppler signals as forward and reverse signals by using the phase relationship between in-phase and quadrature-phase signals. Discrete wavelet transform is one of the methods used for analyzing these signals. A desired property in discrete wavelet transform is phase shift-invariance which can not be provided by ordinary discrete wavelet transform. To overcome this disadvantage dual-tree complex wavelet transform was introduced. But Doppler signals are dual channel signals and dual-tree complex wavelet transform must be applied twice. Therefore complexity of the transform increases. In this work, a new transform method reducing computational complexity is introduced.
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一种处理多普勒信号的小波变换新方法
中风,现在很常见,是由于向大脑供血的血管受到干扰而导致的大脑功能的迅速丧失。中风的主要原因是栓塞,这是一种比红细胞更大的颗粒。栓子可用多普勒超声检测。栓子多普勒超声信号是短时间的瞬态信号。这些信号可以利用正交多普勒信号的同相部分和正交相部分作为正向和反向信号,利用同相和正交相信号之间的相位关系。离散小波变换是分析这些信号的方法之一。离散小波变换所需要的一个特性是相移不变性,这是普通离散小波变换所不能提供的。为了克服这一缺点,引入了双树复小波变换。但多普勒信号是双通道信号,必须进行两次双树复小波变换。因此,变换的复杂性增加了。本文提出了一种新的降低计算复杂度的变换方法。
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