Improving Conductivity Image Quality Using Block Matrix-based Multiple Regularization (BMMR) Technique in EIT: A Simulation Study

Improving Conductivity Image Quality Using Block Matrix-based Multiple Regularization (BMMR) Technique in EIT: A Simulation Study

A Block Matrix based Multiple Regularization (BMMR) technique is proposed for improving conductivity image quality in Electrical Impedance Tomography (EIT). The response matrix (JTJ) has been partitioned into several sub-block matrices and the largest element of each sub-block matrix has been chosen...

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Bibliographic Details
Main Authors: Bera Tushar Kanti, Biswas Samir Kumar, Rajan K., Nagaraju J.
Format: Article
Language:English
Published: Sciendo 2011-06-01
Series:Journal of Electrical Bioimpedance
Subjects:
eit
mobiir
jacobian
block matrix-based multiple regularization (bmmr)
simulated boundary data
conductivity imaging
str
lmr
normalized projection error
normalized solution error
Online Access:https://doi.org/10.5617/jeb.170

Internet

https://doi.org/10.5617/jeb.170

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