• DocumentCode
    539455
  • Title

    Fixed-Point Acceleration of Square Root and Logarithm Using Quadratic Regression for HTK Kernel Modules

  • Author

    Chou, Chih-Hung ; Lin, Po-Chuan ; Wang, Jhing-Fa

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    602
  • Lastpage
    605
  • Abstract
    This paper proposes a low-computation algorithm for logarithm and square-root in fixed-point domain. The algorithm only needs 3 ~ 6 coefficients to do inner-product of vectors which have three elements. Each computation only needs three fixed-point multiplications and two fixed-point additions to accomplish logarithm and square-root operations. According to the experimental results, the relative error is less than 0.075% and 0.6% for square-root and logarithm operation, respectively. Comparing with the CORDIC algorithm, the proposed algorithm can provide the same precision and save 4 ~ 7 times additions, 33 ~ 40% lookup table operations, and 33% ~ 40% memory requirements, that indicates that the proposed algorithm is more efficient and appropriate for IC design.
  • Keywords
    fixed point arithmetic; hidden Markov models; integrated circuit design; regression analysis; HTK Kernel Modules; IC design; fixed point acceleration; fixed point addition; fixed point multiplication; hidden Markov model toolkit; logarithm operation; lookup table operation; low-computation algorithm; quadratic regression; square root; Accuracy; Algorithm design and analysis; Approximation methods; Mel frequency cepstral coefficient; Regression analysis; Signal processing algorithms; Speech; HTK; fixed-point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.154
  • Filename
    5715504