Total variation regularization with Split Bregman based method in magnetic induction tomography using experimental data

Fang Li, J Abascal, Desco M, Manuchehr Soleimani

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

193 Downloads (Pure)

Access to Document

revised paper_4
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Accepted author manuscript, 999 KB

@article{a951d8add74b4b7aa5728b6900217367,

title = "Total variation regularization with Split Bregman based method in magnetic induction tomography using experimental data",

author = "Fang Li and J Abascal and Desco M and Manuchehr Soleimani",

year = "2017",

month = feb,

day = "15",

doi = "10.1109/JSEN.2016.2637411",

language = "English",

volume = "17",

pages = "976 -- 985 ",

journal = "IEEE Sensors Journal",

issn = "1530-437X",

publisher = "IEEE",

number = "4",

}

TY - JOUR

T1 - Total variation regularization with Split Bregman based method in magnetic induction tomography using experimental data

AU - Li, Fang

AU - Abascal, J

AU - M, Desco

AU - Soleimani, Manuchehr

PY - 2017/2/15

Y1 - 2017/2/15

UR - https://doi.org/10.1109/JSEN.2016.2637411

U2 - 10.1109/JSEN.2016.2637411

DO - 10.1109/JSEN.2016.2637411

M3 - Article

VL - 17

SP - 976

EP - 985

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

SN - 1530-437X

IS - 4

ER -