• DocumentCode
    2678712
  • Title

    Compressive imaging applied to infrared-based semiconductor failure analysis

  • Author

    Sun, Ting ; Woods, Gary ; Kelly, Kevin F.

  • Author_Institution
    ECE Dept., Rice Univ., Houston, TX, USA
  • fYear
    2011
  • fDate
    2-7 Oct. 2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    We present IR emission images obtained from semiconductor devices using compressive sensing mathematics combined with a single-element infrared photon detector as method of defect detection. High signal to noise ratio, robust measurements and fast acquisition have make compressive imaging a strong supplement to traditional IR analysis systems.
  • Keywords
    failure analysis; image reconstruction; infrared detectors; infrared imaging; semiconductor device reliability; IR analysis systems; IR emission images; compressive imaging; compressive sensing mathematics; defect detection; infrared-based semiconductor failure analysis; robust measurements; semiconductor devices; signal to noise ratio; single-element infrared photon detector; Compressed sensing; Detectors; Image coding; Image reconstruction; Imaging; Noise measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Infrared, Millimeter and Terahertz Waves (IRMMW-THz), 2011 36th International Conference on
  • Conference_Location
    Houston, TX
  • ISSN
    2162-2027
  • Print_ISBN
    978-1-4577-0510-6
  • Electronic_ISBN
    2162-2027
  • Type

    conf

  • DOI
    10.1109/irmmw-THz.2011.6105248
  • Filename
    6105248