Measurement of Two-Phase Flow Parameters and Image Reconstruction Based on Weighted SVD Truncated Conjugate Gradient Algorithm

Abstract:

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Taking into account the effect of sensitivity field and ill-posed problem in ERT, a weighted SVD truncated conjugate gradient image reconstruction algorithm (WSTCG) and its mathematical model were developed based on singular value decomposition of the sensitivity matrix theory. Simulation and experimental results show the proposed algorithm has two excellent characters of high quality and fast convergence speed compared with the LBP algorithm and CG algorithm.

Info:

Periodical:

Key Engineering Materials (Volumes 439-440)

Edited by:

Yanwen Wu

Pages:

1516-1521

DOI:

10.4028/www.scientific.net/KEM.439-440.1516

Citation:

Y. J. Zhang et al., "Measurement of Two-Phase Flow Parameters and Image Reconstruction Based on Weighted SVD Truncated Conjugate Gradient Algorithm", Key Engineering Materials, Vols. 439-440, pp. 1516-1521, 2010

Online since:

June 2010

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Price:

$35.00

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