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NOVOSADOVÁ, M. RAJMIC, P.
Original Title
Piecewise-polynomial curve fitting using group sparsity
Type
conference paper
Language
English
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.
Keywords
Signal segmentation; sparsity; convex optimization
Authors
NOVOSADOVÁ, M.; RAJMIC, P.
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" }