• DocumentCode
    1766065
  • Title

    Diversification of signal processing research: a potential for more growth? [From the Editor]

  • Author

    Zoubir, Abdelhak

  • Volume
    30
  • Issue
    4
  • fYear
    2013
  • fDate
    41456
  • Firstpage
    2
  • Lastpage
    174
  • Abstract
    The Editor considers whether diversification of signal processing research could be seen as a better means of growth. What about the high degree of specialization in signal processing research? The view among successful colleagues in this community is that a high degree of specialization as well as diversification are needed. He then wonders what role does IEEE Signal Processing Magazine (SPM) play in reaching more growth in signal processing research. Finally, this issue\´s special theme, "kernel-based learning for signal processing," is announced. As the guest editors write in their editorial, an overarching motivation for the fast development in kernelbased learning has primarily come from the applications. On one hand, the sciences, such as computational biology, have motivated the work and largely benefited from the new set of tools. On the other hand, kernel-based learning enabled the addressing of emerging industrial problems including social networks and text mining.
  • Keywords
    learning (artificial intelligence); signal processing; computational biology; industrial problems; kernel-based learning; signal processing research; social networks; text mining;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2013.2258531
  • Filename
    6530769