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

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Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2020 IEEE International Conference on Acoustics, Speech, and Signal Processing
Subtitle of host publicationPROCEEDINGS
PublisherIEEE
Pages4791-4795
Volume2020-May
ISBN (Electronic)9781509066315
ISBN (Print)9781509066322
Publication statusPublished - May 2020

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2020-May
ISSN (Print)1520-6149

Conference

Title2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
PlaceSpain
CityBarcelona
Period4 - 8 May 2020

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