• DocumentCode
    3239642
  • Title

    State Skip LFSRs: Bridging the Gap between Test Data Compression and Test Set Embedding for IP Cores

  • Author

    Tenentes, V. ; Kavousianos, X. ; Kalligeros, E.

  • Author_Institution
    Comput. Sci. Dept., Ioannina Univ., Ioannina
  • fYear
    2008
  • fDate
    10-14 March 2008
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    We present a new type of linear feedback shift registers, state skip LFSRs. state skip LFSRs are normal LFSRs with the addition of a small linear circuit, the State Skip circuit, which can be used, instead of the characteristic-polynomial feedback structure, for advancing the state of the LFSR. In such a case, the LFSR performs successive jumps of constant length in its state sequence, since the State Skip circuit omits a predetermined number of states by calculating directly the state after them. By using State Skip LFSRs we get the well- known high compression efficiency of test set embedding with substantially reduced test sequences, since the useless parts of the test sequences are dramatically shortened by traversing them in state skip mode. The length of the shortened test sequences approaches that of test data compression methods. A systematic method for minimizing the test sequences of re- seeding-based test set embedding methods, and a low overhead decompression architecture are also presented.
  • Keywords
    automatic test pattern generation; feedback; shift registers; IP cores; automatic test pattern generation; overhead decompression architecture; polynomial feedback structure; state skip linear feedback shift registers; test data compression; test sequence reduction; Automatic test pattern generation; Circuit faults; Circuit testing; Feedback circuits; Linear circuits; Linear feedback shift registers; Random sequences; State feedback; System testing; Test data compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation and Test in Europe, 2008. DATE '08
  • Conference_Location
    Munich
  • Print_ISBN
    978-3-9810801-3-1
  • Electronic_ISBN
    978-3-9810801-4-8
  • Type

    conf

  • DOI
    10.1109/DATE.2008.4484726
  • Filename
    4484726