A dedicated methodology for irreversible compression of Gravitational Waves Sound with high quality reconstruction.

Laura  Rebollo-Neira; Angel  Plastino

doi:10.1016/j.physa.2019.122206

A dedicated methodology for irreversible compression of Gravitational Waves Sound with high quality reconstruction.

Research output: Contribution to journal › Article

Abstract

A dedicated method for irreversible compression of Gravitational Waves Sound with high quality recovery is proposed. The performance is tested on the sound signal which has been produced with the first gravitational wave that was detected, and on 36 theoretically generated signals. The approach is based on a model for data reduction rendering high quality approximation of the signals. The reduction of dimensionality is achieved by selecting elementary components from a redundant dictionary. Comparisons with the compression standard MP3 demonstrate the merit of the dedicated technique for compressing this type of sound.

Original language	English
Article number	122206
Journal	Physica A: Statistical Mechanics and its Applications
Volume	535
Early online date	8 Aug 2019
DOIs	https://doi.org/10.1016/j.physa.2019.122206
Publication status	Published - 1 Dec 2019

Bibliographical note

Keywords

Compression by dictionaries
Gravitational Waves Sound
Sparse representation of Gravitational Waves Sound

Access to Document

10.1016/j.physa.2019.122206

A dedicated codec for compression of Gravitational Waves SoundAccepted author manuscript, 642 KBLicence: CC BY-NC-ND

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title = "A dedicated methodology for irreversible compression of Gravitational Waves Sound with high quality reconstruction.",

abstract = "A dedicated method for irreversible compression of Gravitational Waves Sound with high quality recovery is proposed. The performance is tested on the sound signal which has been produced with the first gravitational wave that was detected, and on 36 theoretically generated signals. The approach is based on a model for data reduction rendering high quality approximation of the signals. The reduction of dimensionality is achieved by selecting elementary components from a redundant dictionary. Comparisons with the compression standard MP3 demonstrate the merit of the dedicated technique for compressing this type of sound.",

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