Doppler Signal Denoising based on Feature Adaptive Wavelet Shrinkage Method
The envelope extraction of Doppler signal spectrum is very important in ultrasonic blood flow detection,due to the fact that it can provide the diagnosis information of blood circulatory system.Doppler signals are often polluted by noises,which will affect the performance of the envelope extraction.Therefore,it is necessary to remove the noises before extracting the spectrum envelope.In this paper,a Doppler denoising method based on the Feature Adaptive Wavelet Shrinkage is proposed.The advantage of this method is that the threshold of each coefficient is set by using the coefficient at the current location and its two neighbor coefficients.Simulation results demonstrate that the proposed method can remove the noises of Doppler signals more effectively compared to the traditional wavelet threshold method.
denoising Feature Adaptive Wavelet Shrinkage wavelet threshold Doppler spectrum
Zhao Yin Jing Jin Yan Wang Yi Shen
Department of Control Science and EngineeringHarbin Institute of Technology Harbin, China
国际会议
西安
英文
702-707
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）