Detail publikačního výsledku

Sparse signal recovery via convex optimization

NOVOSADOVÁ, M.

Originální název

Sparse signal recovery via convex optimization

Anglický název

Sparse signal recovery via convex optimization

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

NOVOSADOVÁ, M.

Rok RIV

2017

Vydáno

28.04.2016

ISBN

978-80-214-5350-0

Kniha

Proceedings of the 22nd Conference STUDENT EEICT 2016

Strany od

354

Strany do

358

Strany počet

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"
}