Detail publikačního výsledku

On the Limitation of Convex Optimization for Sparse Signal Segmentation

RAJMIC, P.; NOVOSADOVÁ, M.

Originální název

On the Limitation of Convex Optimization for Sparse Signal Segmentation

Anglický název

On the Limitation of Convex Optimization for Sparse Signal Segmentation

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

We show that convex optimization methods have fundamental properties that complicate performing signal segmentation based on sparsity assumptions. We review the recently introduced overcomplete sparse segmentation model, we perform experiments revealing the limits, and we explain this behaviour. We also propose modifications and alternatives.

Anglický abstrakt

We show that convex optimization methods have fundamental properties that complicate performing signal segmentation based on sparsity assumptions. We review the recently introduced overcomplete sparse segmentation model, we perform experiments revealing the limits, and we explain this behaviour. We also propose modifications and alternatives.

Klíčová slova

Signal segmentation; sparsity; convex optimization

Klíčová slova v angličtině

Signal segmentation; sparsity; convex optimization

Autoři

RAJMIC, P.; NOVOSADOVÁ, M.

Rok RIV

2017

Vydáno

27.06.2016

ISBN

978-1-5090-1288-6

Kniha

Proceedings of the 39th International Conference on Telecommunications and Signal Processing (TSP) 2016

Strany od

550

Strany do

554

Strany počet

5

BibTex

@inproceedings{BUT124522,
  author="Pavel {Rajmic} and Michaela {Novosadová}",
  title="On the Limitation of Convex Optimization for Sparse Signal Segmentation",
  booktitle="Proceedings of the 39th International Conference on Telecommunications and Signal Processing (TSP) 2016",
  year="2016",
  pages="550--554",
  doi="10.1109/TSP.2016.7760941",
  isbn="978-1-5090-1288-6"
}