The application of subspace preconditioned LSQR algorithm for solving the electrocardiography inverse problem
Author:
Publisher
Elsevier BV
Subject
Biomedical Engineering,Biophysics
Reference27 articles.
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1. IRN-MLSQR: An improved iterative reweight norm approach to the inverse problem of electrocardiography incorporating factorization-free preconditioned LSQR;Journal of Electrocardiology;2020-09
2. Statistical Estimation Applied to Electrocardiographic Imaging;2019 12th International Conference on Measurement;2019-05
3. An Improved 3D Joint Inversion Method of Potential Field Data Using Cross-Gradient Constraint and LSQR Method;Pure and Applied Geophysics;2018-06-07
4. Effects of a priori parameter selection in minimum relative entropy method on inverse electrocardiography problem;Inverse Problems in Science and Engineering;2017-09-07
5. LSQR algorithm with structured preconditioner for the least squares problem in quaternionic quantum theory;Computers & Mathematics with Applications;2017-05
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