Detail publikace

Acceleration of Audio Inpainting by Support Restriction

Originální název

Acceleration of Audio Inpainting by Support Restriction

Anglický název

Acceleration of Audio Inpainting by Support Restriction

Jazyk

en

Originální abstrakt

We present a simple algorithm which accelerates the sparsity-based audio inpainting. The algorithm optimally restricts the signal support around the missing data region. This way, increased computational efficiency is achieved by avoiding inclusion of unnecessary values in the optimization process. For testing purposes, we use the discrete Gabor transform as the sparsity promoting representation, but the method can be easily translated to other systems.

Anglický abstrakt

We present a simple algorithm which accelerates the sparsity-based audio inpainting. The algorithm optimally restricts the signal support around the missing data region. This way, increased computational efficiency is achieved by avoiding inclusion of unnecessary values in the optimization process. For testing purposes, we use the discrete Gabor transform as the sparsity promoting representation, but the method can be easily translated to other systems.

Dokumenty

BibTex


@inproceedings{BUT117804,
  author="Pavel {Rajmic} and Hana {Bartlová} and Zdeněk {Průša} and Nicki {Holighaus}",
  title="Acceleration of Audio Inpainting by Support Restriction",
  annote="We present a simple algorithm which accelerates the sparsity-based audio inpainting. The algorithm optimally
restricts the signal support around the missing data region. This way, increased computational efficiency is achieved by avoiding inclusion of unnecessary values in the optimization process. For testing purposes, we use the discrete Gabor transform as the sparsity promoting representation, but the method can be easily translated to other systems.",
  address="Vysoké učení technické",
  booktitle="Proceedings of the 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="117804",
  doi="10.1109/ICUMT.2015.7382451",
  howpublished="online",
  institution="Vysoké učení technické",
  year="2015",
  month="october",
  pages="325--329",
  publisher="Vysoké učení technické",
  type="conference paper"
}