Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

A SVD-based classification of bird singing in different time-frequency domains using multitapers

Publiceringsår: 2011
Språk: Engelska
Sidor: 966-970
Publikation/Tidskrift/Serie: European Signal Processing Conference
Volym: 2011
Dokumenttyp: Konferensbidrag
Förlag: European Association for Signal Processing (EURASIP)


In this paper, a novel method for analysing a bird’s song is presented. The song of male great reed warblers is used for developing and testing the methods. A robust method for detecting syllables is proposed and a classification of those syllables as compared to reference syllables is done. The extraction of classification features are based on the use of singular vectors in different time-frequency domains, such as the ambiguity and the doppler domains, in addition to the usual sonogram. The analysis is also made using multitaper analysis where the Welch method and the Thomson multi- tapers are compared to the more recently proposed locally stationary process multitapers.


  • Probability Theory and Statistics


19th European Signal Processing Conference, EUSIPCO 2011
  • Stochastics in Medicine-lup-obsolete
  • Statistical Signal Processing-lup-obsolete
  • Statistical Signal Processing Group
  • ISSN: 2219-5491

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen