DCT-compressive sampling of multifrequency sparse audio signals

R. G. Moreno-Alvarado, Mauricio Martinez-Garcia, Mariko Nakano, Héctor M. Pérez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we propose to apply the discrete cosine transform (DCT) and the compressive sampling (CS) techniques to audio signal compression. Using spectral analysis and the properties of the DCT, we can treat audio signals as sparse signals in the frequency domain. This is especially true for sounds representing tones. Thus, we propose the use of DCT as a preprocessor in order to sparsely represent a signal in the frequency domain, combined with CS to obtain an efficient representation of the signals. We show that the subsequent application of CS represents our signals with less information than the well-known sampling theorem.

Original languageEnglish
Title of host publication2014 IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014
EditorsCarlos E. Velasquez-Villada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479971626
DOIs
StatePublished - 12 Feb 2014
Event6th IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014 - Cartagena de Indias, Colombia
Duration: 5 Nov 20147 Nov 2014

Publication series

Name2014 IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014

Conference

Conference6th IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014
Country/TerritoryColombia
CityCartagena de Indias
Period5/11/147/11/14

Keywords

  • Audio signals
  • Compression
  • Compressive sampling
  • Discrete Cosine Transform
  • Frequency sparse

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