DCT-compressive sampling of multifrequency sparse audio signals

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2014 IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014
EditoresCarlos E. Velasquez-Villada
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479971626
DOI
EstadoPublicada - 12 feb. 2014
Evento6th IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014 - Cartagena de Indias, Colombia
Duración: 5 nov. 20147 nov. 2014

Serie de la publicación

Nombre2014 IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014

Conferencia

Conferencia6th IEEE Latin-America Conference on Communications, IEEE LATINCOM 2014
País/TerritorioColombia
CiudadCartagena de Indias
Período5/11/147/11/14

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