Simple scheme for compressing sparse representation of melodic music

Laura  Rebollo-Neira; Ivandro Sanchez

doi:10.1049/el.2017.3908

Simple scheme for compressing sparse representation of melodic music

Research output: Contribution to journal › Article

Abstract

A simple scheme for compressing sparse representation of melodic music is outlined. The method is designed to store the output of sparse approximation (SA) of that class of signals. Sparsity is achieved using a trigonometric dictionary and a dedicated greedy strategy aiming at approximating the signal at the good point-wise quality. Comparisons to the popular MP3 standard illustrate the suitability of the scheme for storing, in a small file, SA of melodic music.

Original language	English
Pages (from-to)	171 - 173
Number of pages	2
Journal	Electronics letters
Volume	54
Issue number	3
Early online date	11 Dec 2017
DOIs	https://doi.org/10.1049/el.2017.3908
Publication status	Published - 8 Feb 2018

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Bibliographical note

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

signal representation
electronic music
approximation theory

Cite this

Rebollo-Neira, L., & Sanchez, I. (2018). Simple scheme for compressing sparse representation of melodic music. Electronics letters, 54(3), 171 - 173. https://doi.org/10.1049/el.2017.3908

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Access to Document

10.1049/el.2017.3908

A simple scheme for compressing sparse representation of melodic music
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 182 KB