Title :
Adaptive spectral doppler estimation based on RLS algorithm
Author :
Chen, Zhong ; Zhao, Mingchang
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, an adaptive spectral doppler estimation based on recursive least squares (RLS) algorithm is proposed for blood velocity distribution estimation. The purpose is to (i) minimize the observation window needed to estimate the spectral distribution and get better temporal resolution, (ii) adaptive estimate the spectral distribution using the current data. An optimization problem is built and solved by matrix gradient method and Matrix Inversion Lemma to get the optimal weighting coefficients and adaptive realization. Simulation results illustrate that the proposed scheme can significantly realize the purpose.
Keywords :
Doppler effect; adaptive estimation; adaptive signal processing; biomedical ultrasonics; blood flow measurement; gradient methods; least squares approximations; matrix inversion; medical signal processing; spectral analysis; RLS algorithm; adaptive realization; adaptive spectral Doppler estimation; blood velocity distribution estimation; matrix gradient method; matrix inversion lemma; optimal weighting coefficient; optimization problem; recursive least squares algorithm; spectral distribution estimation; ultrasound technology; Adaptation model; Blood; Computational efficiency; Data models; Estimation; Signal processing algorithms; Ultrasonic imaging; Blood velocity distribution; Doppler estimation; FFT; RLS; Windowed FFT;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713148
