Structure and correlation in the detection of melodic sequences

Authors

  • 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

Keywords:

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

Abstract

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.

Additional Files

Published

2001-09-01

How to Cite

1.
Lee J, Leung F, Satkunasingham J, Wong W, Wong W. Structure and correlation in the detection of melodic sequences. Canadian Acoustics [Internet]. 2001 Sep. 1 [cited 2024 Mar. 1];29(3):114-5. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1407

Issue

Section

Proceedings of the Acoustics Week in Canada