Wavelets for Sparse Representation of Music

Line Ørtoft Endelt; Anders la Cour-Harbo

Wavelets for Sparse Representation of Music

Line Ørtoft Endelt, Anders la Cour-Harbo

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

7 Citationer (Scopus)

1075 Downloads (Pure)

Abstract

We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.

Originalsprog	Engelsk
Titel	Proceedings of WEDELMUSIC 2004
Antal sider	5
Publikationsdato	2004
Sider	10-14
Status	Udgivet - 2004
Begivenhed	WEDELMUSIC 2004 - Barcelona, Spanien Varighed: 13 sep. 2004 → 15 sep. 2005

Konference

Konference	WEDELMUSIC 2004
Land/Område	Spanien
By	Barcelona
Periode	13/09/2004 → 15/09/2005

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AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Automatic Classification and Recognition of Music
Endelt, L. Ø., la Cour-Harbo, A. & Stoustrup, J.
Aalborg University
31/07/2006 → 01/01/2009
Projekter: Projekt › Forskning
OPTOCTRL: OPTOCTRL / Ikke-lineær og robust regulering af elektro-mekaniske systemer med optiske sensorer
Stoustrup, J., Andersen, P., Pedersen, T. S., la Cour-Harbo, A., Vidal Sanchez, E., Jensen, A., Fløe Mikkelsen, H. & Nissen, P.
FTP
01/01/2005 → 01/10/2008
Projekter: Projekt › Forskning

Citationsformater

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title = "Wavelets for Sparse Representation of Music",

abstract = "We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.",

author = "Endelt, {Line {\O}rtoft} and {la Cour-Harbo}, Anders",

year = "2004",

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AB - We are interested in obtaining a sparse representation of music signals by means of a discrete wavelet transform (DWT). That means we want the energy in the representation to be concentrated in few DWT coefficients. It is well-known that the decay of the DWT coefficients is strongly related to the number of vanishing moments of the mother wavelet, and to the smoothness of the signal. In this paper we present the result of applying two classical families of wavelets to a series of musical signals. The purpose is to determine a general relation between the number of vanishing moments of the wavelet and the sparseness of the DWT coefficients.

M3 - Article in proceeding

SP - 10

EP - 14

BT - Proceedings of WEDELMUSIC 2004

T2 - WEDELMUSIC 2004

Y2 - 13 September 2004 through 15 September 2005

ER -

Wavelets for Sparse Representation of Music

Abstract

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

Automatic Classification and Recognition of Music

OPTOCTRL: OPTOCTRL / Ikke-lineær og robust regulering af elektro-mekaniske systemer med optiske sensorer

Citationsformater