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
Link To Document :
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