DocumentCode :
2906726
Title :
Two-dimensional spectrum estimation for flow with multiple velocities using maximum entropy
Author :
Yao, Aiping ; Zheng, Yi ; Greenleaf, James F.
Author_Institution :
Saint Cloud State Univ., St. Cloud, MN, USA
Volume :
2
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
1594
Abstract :
We have developed a high-resolution method to estimate multiple velocities of flows within one sample volume of pulse echo ultrasound for small flows. The method uses maximum entropy method (MEM) to estimate the covariance matrix of a two-dimensional (2D) signal when data length is limited. The estimated covariance is used to calculate high-resolution 2D power spectrum of flows. The simulation and experiment results show that our method provides high-resolution estimations for multiple velocities when data length is limited and small flows are located.
Keywords :
covariance matrices; data flow analysis; echo; maximum entropy methods; 2D power spectrum; 2D signal; 2D spectrum estimation; covariance estimation; covariance matrix; data length; flow estimation; high-resolution estimations; high-resolution method; high-resolution power spectrum; maximum entropy; multiple velocities; pulse echo ultrasound; small flows; Clouds; Covariance matrix; Data processing; Entropy; Estimation error; Length measurement; Spectral analysis; State estimation; Ultrasonic imaging; Ultrasonic variables measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics, 2003 IEEE Symposium on
Print_ISBN :
0-7803-7922-5
Type :
conf
DOI :
10.1109/ULTSYM.2003.1293213
Filename :
1293213
Link To Document :
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