Application of Thresholding Landweber Algorithm in MIT Image Reconstruction
WANG Xu1, WANG Jing-wen1, WANG Ke-yuan2
1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2.Faculty of Electronic Information and Electrical Engineering, Dalian Unirersity of Technology, Dalian 116024, China.
WANG Xu, WANG Jing-wen, WANG Ke-yuan. Application of Thresholding Landweber Algorithm in MIT Image Reconstruction[J]. Journal of Northeastern University Natural Science, 2016, 37(4): 477-480.
[1]Griffith H.Magnetic induction tomography [J].Measurement Science and Technology, 2001,12(8):1126-1131. [2]Wang J W,Wang X.Application of particle filtering algorithm in image reconstruction of EMT[J].Measurement Science and Technology, 2015,26(7):5303-5310. [3]Merwa R,Hollaus K,Oszk B,et al.Detection of brain oedema using MIT:a feasibility study of the likely sensitivity and detectability [J].Physiological Measurement,2004,25(3) 347-354. [4]Ma X,Peyton A J,Higson S R,et al.Hardware and software design for an electromagnetic induction tomography (EMT) system for high contrast metal process applications [J].Measurement Science and Technology,2006,17(6):111-118. [5]Zhang M,Ma L,Soleimani M.Magnetic induction tomography guided electrical capacitance tomography imaging with grounded conductors[J]. Measurement,2014,53(7) :171-181. [6]Hollaus K,Magele C,Merwa R,et al.Numerical simulation of the eddy current problem in magnetic induction tomography for biomedical applications by edge elements [J].IEEE Transaction on Magnetics,2004,40(3):623- 626. [7]Soleimani M,Lionheart W R B,Peyton A J,et al.A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data[J].IEEE Transaction on Magnetics,2006,42(10):1560-1567. [8]Bertero M,Piana P.Projected Landweber method and preconditioning [J] .Inverse Problems, 1997,13(4):441-464. [9]Daubechies I,Defrise M,Mol C D.An iterative thresholding algorithm for linear inverse problems with a sparsity constraint[J].Communications on Pure and Applied Mathematics, 2004,57(11):1413-1457.(上接第476页) [10]董明,张勇,张岩,等.含电气量信息的电力系统故障诊断解析模型[J].电力系统自动化,2013,37(6):55-62.(Dong Ming,Zhang Yong,Zhang Yan,et al.An analytic model for power system fault diagnosis employing electrical data[J].Automation of Electric Power System,2013,37(6):55-62.) [11]董明.具有高容错能力的电力系统故障诊断的解析模型与方法[D].杭州:浙江大学,2012.(Dong Ming.Analytic model and methods for power system fault diagnosis with high fault-tolerance capability[D].Hangzhou:Zhejiang University,2012.) [12]Montgomery G J,Drake K C.Abductive reasoning networks[J].Neurocomputing,1991,2(3):97-104. [13]Huang Y C.Abductive reasoning network based diagnosis system for fault section estimation in power systems[J].IEEE Transactions on Power Delivery,2002,17(2):369-374. [14]Farlow S J.Self-organizing methods in modeling[M].New York:Marcel Dekker,1984.