Publication detail

Sparse signal recovery via convex optimization

NOVOSADOVÁ, M.

Original Title

Sparse signal recovery via convex optimization

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

We propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two steps. The first step is signal segmentation via optimization algorithms solving sparsity based model. Second step consists of applying an ordinary mean square method on each detected segment of the signal. We show results of our experiments on two types of the signal.

Keywords

convex optimization, Douglas-Rachford algorithm, Forward-Backward algorithm, signal recovery, signal segmentation

Authors

NOVOSADOVÁ, M.

Released

28. 4. 2016

ISBN

978-80-214-5350-0

Book

Proceedings of the 22nd Conference STUDENT EEICT 2016

Edition number

první

Pages from

354

Pages to

358

Pages count

5

BibTex

@inproceedings{BUT124356,
  author="Michaela {Novosadová}",
  title="Sparse signal recovery via convex optimization",
  booktitle="Proceedings of the 22nd Conference STUDENT EEICT 2016",
  year="2016",
  number="první",
  pages="354--358",
  isbn="978-80-214-5350-0"
}