Name
Title | ||
|---|---|---|
An Improved Sparse Reconstruction Algorithm Based on Singular Value Decomposition for Electrical Resistance Tomography |
Abstract | ||
|---|---|---|
Electrical Resistance Tomography (ERT) is a technique for reconstructing internal conductivity distribution of the measured field from the boundary data. Image reconstruction of ERT is a nonlinear and ill-posed inverse problem. Regularization method is used to solve inverse problem, and the sparse reconstruction by separable approximation algorithm (SpaRSA) is a relatively effective method. Howeve... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/I2MTC50364.2021.9460058 | 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) |
Keywords | DocType | ISBN |
Resistance,Image quality,Sensitivity,Inverse problems,Transforms,Approximation algorithms,Sparse matrices | Conference | 978-1-7281-9539-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shouxiao Li | 1 | 1 | 0.69 |
| Huaxiang Wang | 2 | 1 | 4.75 |
| Joanna N. Chen | 3 | 1 | 0.69 |
| Ziqiang Cui | 4 | 1 | 3.74 |