• DocumentCode
    2467160
  • Title

    A compressive sensing approach to the 4W1H architecture

  • Author

    Palafox ; Leon ; Hideki, Hashimoto

  • Author_Institution
    Inst. of Ind. Sci., Tokyo Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    14-17 March 2010
  • Firstpage
    1599
  • Lastpage
    1604
  • Abstract
    When dealing with an elevated sensor number we may have to reduce our sampling time or the sensing features in order to achieve real time sensing. In this paper we propose a make use of the recently developed theory of Compressive Sensing to try and reduce the number of sensing as well as the sample size without loosing quality in our sampling for doing a good feature recognition.
  • Keywords
    sensors; 4W1H architecture; compressive sensing; feature recognition; real time sensing; Frequency; Humans; Intelligent actuators; Intelligent robots; Intelligent sensors; Orbital robotics; Sampling methods; Signal processing; Signal sampling; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2010 IEEE International Conference on
  • Conference_Location
    Vi a del Mar
  • Print_ISBN
    978-1-4244-5695-6
  • Electronic_ISBN
    978-1-4244-5696-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2010.5472447
  • Filename
    5472447