Conference proceeding
Large Scale 2D Spectral Compressed Sensing in Continuous Domain
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5905-5909
03/02/2019
DOI: 10.1109/ICASSP.2017.7953289
Abstract
ICASSP, IEEE International Conference on Acoustics, Speech and
Signal Processing - Proceedings, IEEE, 2017, p. 5905-5909, Article number
7953289 We consider the problem of spectral compressed sensing in continuous domain,
which aims to recover a 2-dimensional spectrally sparse signal from partially
observed time samples. The signal is assumed to be a superposition of s complex
sinusoids. We propose a semidefinite program for the 2D signal recovery
problem. Our model is able to handle large scale 2D signals of size 500*500,
whereas traditional approaches only handle signals of size around 20*20.
Details
- Title: Subtitle
- Large Scale 2D Spectral Compressed Sensing in Continuous Domain
- Creators
- Jian-Feng CaiWeiyu Xu - University of IowaYang Yang - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5905-5909
- DOI
- 10.1109/ICASSP.2017.7953289
- eISBN
- 1509041176; 9781509041176
- ISSN
- 1520-6149
- eISSN
- 2379-190X
- Language
- English
- Date published
- 03/02/2019
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197552902771
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