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RAJMIC, P. NOVOSADOVÁ, M.
Original Title
On the Limitation of Convex Optimization for Sparse Signal Segmentation
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Signal segmentation; sparsity; convex optimization
Authors
RAJMIC, P.; NOVOSADOVÁ, M.
Released
27. 6. 2016
ISBN
978-1-5090-1288-6
Book
Proceedings of the 39th International Conference on Telecommunications and Signal Processing (TSP) 2016
Pages from
550
Pages to
554
Pages count
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" }