EXTENDED CYCLIC COORDINATE DESCENT FOR ROBUST ROW-SPARSE SIGNAL RECONSTRUCTION IN THE PRESENCE OF OUTLIERS
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| Subtitle of host publication | PROCEEDINGS |
| Publisher | IEEE |
| Pages | 4791-4795 |
| Volume | 2020-May |
| ISBN (Electronic) | 9781509066315 |
| ISBN (Print) | 9781509066322 |
| Publication status | Published - May 2020 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2020-May |
| ISSN (Print) | 1520-6149 |
Conference
| Title | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 |
|---|---|
| Place | Spain |
| City | Barcelona |
| Period | 4 - 8 May 2020 |
Link(s)
Abstract
The problem of row-sparse signal reconstruction for complex-valued data with outliers is investigated in this paper. First, we formulate the problem by taking advantage of a sparse weight matrix, which is used to down-weight the outliers. The formulated problem belongs to LASSO-type problems, and such problems can be efficiently solved via cyclic coordinate descent (CCD). We propose an extended CCD algorithm to solve the problem for complex-valued measurements, which requires careful characterization and derivation. Numerical simulation results show that the proposed algorithm is robust against outliers and has a higher empirical probability of exact recovery compared with other tested methods.
Research Area(s)
- CCD algorithm, Direction-of-arrival (DOA) estimation, Joint-sparse recovery, Outliers, Row-sparse reconstruction
Citation Format(s)
EXTENDED CYCLIC COORDINATE DESCENT FOR ROBUST ROW-SPARSE SIGNAL RECONSTRUCTION IN THE PRESENCE OF OUTLIERS. / Huang, Huiping; So, Hing Cheung; Zoubir, Abdelhak M.
2020 IEEE International Conference on Acoustics, Speech, and Signal Processing: PROCEEDINGS. Vol. 2020-May IEEE, 2020. p. 4791-4795 9054540 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2020-May).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
