Publication result detail

Piecewise-polynomial curve fitting using group sparsity

NOVOSADOVÁ, M.; RAJMIC, P.

Original Title

Piecewise-polynomial curve fitting using group sparsity

English Title

Piecewise-polynomial curve fitting using group sparsity

Type

Paper in proceedings (conference paper)

Original Abstract

We present a method for segmenting onedimensional signal, whose segments are modeled as polynomials, and which is corrupted by an additive noise. The method is based on sparse modeling and its formulation as a convex optimization problem is solved by proximal algorithms. We perform experiments on simulated data, discuss the results and suggest future directions that could lead to even better results.

English abstract

We present a method for segmenting onedimensional signal, whose segments are modeled as polynomials, and which is corrupted by an additive noise. The method is based on sparse modeling and its formulation as a convex optimization problem is solved by proximal algorithms. We perform experiments on simulated data, discuss the results and suggest future directions that could lead to even better results.

Keywords

Signal segmentation; sparsity; convex optimization

Key words in English

Signal segmentation; sparsity; convex optimization

Authors

NOVOSADOVÁ, M.; RAJMIC, P.

RIV year

2017

Released

18.10.2016

Publisher

EDAS Conference Services

Location

Lisbon

ISBN

978-1-4673-8817-7

Book

Proceedings of the 8th International Congress on Ultra Modern Telecommunications and Control Systems

Pages from

320

Pages to

325

Pages count

6

URL

https://ieeexplore.ieee.org/document/7765379

BibTex

@inproceedings{BUT127475,
  author="Michaela {Novosadová} and Pavel {Rajmic}",
  title="Piecewise-polynomial curve fitting using group sparsity",
  booktitle="Proceedings of the 8th International Congress on Ultra Modern Telecommunications and Control Systems",
  year="2016",
  pages="320--325",
  publisher="EDAS Conference Services",
  address="Lisbon",
  doi="10.1109/ICUMT.2016.7765379",
  isbn="978-1-4673-8817-7",
  url="https://ieeexplore.ieee.org/document/7765379"
}