Large scale 2D spectral compressed sensing in continuous domain

Jian-Feng Cai; Weiyu Xu; Yang Yang

ICASSP 2017accepted0 citations

Large scale 2D spectral compressed sensing in continuous domain

Abstract

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.

BibTeX

@inproceedings{icassp2017_largescale2dspec,
  title = {Large scale 2D spectral compressed sensing in continuous domain},
  author = {Jian-Feng Cai and Weiyu Xu and Yang Yang},
  booktitle = {ICASSP 2017},
  year = {2017}
}