• DocumentCode
    3413942
  • Title

    Frequency Dependant Bit Appending: An Enhancement to Statistical Codes for Test Data Compression

  • Author

    Mehta, Usha S. ; Dasgupta, Kankar S. ; Devashrayee, Niranjan M.

  • Author_Institution
    Inst. of Technol., Nirma Univ., Ahmedabad, India
  • fYear
    2009
  • fDate
    18-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Test data compression is a basic necessity for today´s test methodology with reference to test cost and test time. This paper presents a compression/decompression scheme based on frequency dependant bit appending of test vector used with statistical codes. In the proposed scheme, the emphasis is not only on data compression but it aims the data compression with a smaller amount of silicon area overhead for on chip decoder. We have observed that when the number of bits per test vector is prime number or multiplication of prime number (particularly multiplied by 2 or 3), statistical codes gives a large area overhead. The proposed scheme of frequency dependant bit appending (FDBA) shows that in such cases, if we append few bits at the end of test vector before compression, it improves % compression with very less area overhead. With ISCAS benchmark circuits, it has been shown that when the proposed scheme is applied with statistical coding method, it not only improves % compression, but the area overhead is reduced a lot compared to the base statistical method.
  • Keywords
    Huffman codes; automatic test equipment; data compression; ISCAS benchmark circuits; area overhead; automatic test equipment; chip decoder; frequency dependant bit appending; optimal selective Huffman code; statistical codes; test data compression; Benchmark testing; Circuit testing; Clocks; Costs; Data compression; Decoding; Frequency; Silicon; Space technology; Test data compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2009 Annual IEEE
  • Conference_Location
    Gujarat
  • Print_ISBN
    978-1-4244-4858-6
  • Electronic_ISBN
    978-1-4244-4859-3
  • Type

    conf

  • DOI
    10.1109/INDCON.2009.5409374
  • Filename
    5409374