Structure and correlation in the detection of melodic sequences

Auteurs-es

  • J. Lee Dept. of Elec. and Comp. Eng., University of Toronto, Toronto, Ont., Canada
  • F. Leung Dept. of Elec. and Comp. Eng., University of Toronto, Toronto, Ont., Canada
  • J. Satkunasingham Dept. of Elec. and Comp. Eng., University of Toronto, Toronto, Ont., Canada
  • W. Wong Dept. of Elec. and Comp. Eng., University of Toronto, Toronto, Ont., Canada
  • W. Wong Dept. of Elec. and Comp. Eng., University of Toronto, Toronto, Ont., Canada

Mots-clés :

Acoustic noise, Acoustic signal processing, Fourier transforms, Fractals, Pattern recognition, Redundancy, Linear function, Melodic sequences

Résumé

The detection performance of randomly generated signals of varying degrees of structural content was measured. Fractal melodies were used and the degree of self-correlation (structural content) was changed in a continuous manner. Overall, significant results were obtained.

Fichiers supplémentaires

Publié-e

2001-09-01

Comment citer

1.
Lee J, Leung F, Satkunasingham J, Wong W, Wong W. Structure and correlation in the detection of melodic sequences. Canadian Acoustics [Internet]. 1 sept. 2001 [cité 4 mai 2026];29(3):114-5. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1407

Numéro

Vol. 29 No. 3 (2001)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

Licence

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