• DocumentCode
    3312027
  • Title

    Multidisciplinary approaches for signal processing education

  • Author

    Destro, J.B. ; Breda-Destro, J.P. ; Travassos-Romano, J.M.

  • Author_Institution
    DECOM, Campinas Univ., Brazil
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    445
  • Lastpage
    450
  • Abstract
    This work reports the implementation of two multidisciplinary postgraduate courses on intelligent signal processing, which have been taught at FEEC (School of Electrical and Computer Engineering), University of Campinas (UNICAMP), Brazil. The first one is devoted to high-order statistics (March-June/2000) and the second one, to blind deconvolution (August-December/2000). The adjective “multidisciplinary” concerns the participation of students of different backgrounds and research fields. The main difficulties associated with establishing an effective communication among the students and the lecturer is discussed, and the motivation level of students is evaluated. This experimental evaluation points out good results as well as drawbacks, and the main challenges of multidisciplinary education are discussed
  • Keywords
    adaptive signal processing; deconvolution; educational courses; higher order statistics; human factors; signal processing; telecommunication engineering education; University of Campinas; adaptive signal processing techniques; blind deconvolution; effective communication; high-order statistics; intelligent signal processing; motivation level; multidisciplinary approaches; multidisciplinary postgraduate courses; signal processing education; Adaptive signal processing; Biomedical engineering; Biomedical signal processing; Communication effectiveness; Computational intelligence; Deconvolution; Education; Geophysics; Signal processing; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
  • Conference_Location
    Pula
  • Print_ISBN
    953-96769-4-0
  • Type

    conf

  • DOI
    10.1109/ISPA.2001.938671
  • Filename
    938671