Name
Title | ||
|---|---|---|
Dealing with frequency perturbations in compressive reconstructions with Fourier sensing matrices. |
Abstract | ||
|---|---|---|
•A novel algorithm for compressive recovery of a signal from its undersampled Fourier measurements where the frequencies are incorrectly specified. The perturbations or errors in the frequency specification are also recovered along with the signal itself. This problem crops up in magnetic resonance imaging and in an indirect way in computed tomography.•Theoretical analysis of the uniqueness of the solution of such a computational problem under some specific assumptions.•Extensive simulation results for the algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2019.06.033 | Signal Processing |
Keywords | Field | DocType |
Compressed sensing,Fourier measurements,Frequency Perturbation | Uniqueness,Computational problem,Matrix (mathematics),Control theory,Mathematical analysis,Direction of arrival,Fourier transform,Calibration,Perturbation (astronomy),Mathematics,Compressed sensing | Journal |
Volume | ISSN | Citations |
165 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Himanshu Pandotra | 1 | 0 | 1.01 |
| Eeshan Malhotra | 2 | 0 | 0.68 |
| Ajit Rajwade | 3 | 160 | 18.32 |
| karthik s gurumoorthy | 4 | 52 | 10.09 |