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Volumn , Issue , 2007, Pages 462-465

Finite wordlength design for IIR digital filters based on the modified least-square criterion in the frequency domain

Author keywords

Branch and bound method; IIR digital filters; Modified least square criterion

Indexed keywords

BRANCH AND BOUND METHOD; FREQUENCY DOMAIN ANALYSIS; LEAST SQUARES APPROXIMATIONS; NUMERICAL METHODS; PRINTED CIRCUIT DESIGN; RELAXATION PROCESSES;

EID: 43749108363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPACS.2007.4445924     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 1
    • 85177112299 scopus 로고
    • Y. Aketa M. Haseyama H. Kitajima N. Nagai A method for quantize coefficients of a filter with genetic algorithm IEICE Trans J78-A 1542 1549 1995
    • (1995) , vol.J78-A , pp. 1542-1549
  • 2
    • 85177108415 scopus 로고    scopus 로고
    • R. Thamvichai T. Bose R. Haupt Design of 2-d multiplierless iir filters using the genetic algorithm IEEE Trans, Circuits & Syst. I 49 878 882 2002
    • (2002) , vol.49 , pp. 878-882
  • 3
    • 85177116047 scopus 로고    scopus 로고
    • M. Nakamoto T. Hinamoto Design of iir digital filters with discrete coefficients based on mis criterion IEICE Trans E89-A 1116 1121 2006
    • (2006) , vol.E89-A , pp. 1116-1121
  • 4
    • 85177121846 scopus 로고
    • C.T. Mullis R.A. Roberts The use of second-order information in the approximation of discrete-time linear systems IEEE Trans. Acoust., Speech, Signal Processing 24 226 238 1976
    • (1976) , vol.24 , pp. 226-238
  • 5
    • 85177106359 scopus 로고    scopus 로고
    • M. Okuda M. Ikehara S. Takahashi Least-squares approach for iir digital filters and application to equiripple solution IEICE Trans J80-A 612 619 1997
    • (1997) , vol.J80-A , pp. 612-619
  • 6
    • 85177124265 scopus 로고    scopus 로고
    • W.S. Lu S.C. Pei C.C. Tseng A weighted leastsquares method for the design of stable 1-d and 2-d iir digital filters IEEE Trans, Signal Proc 46 1 10 1998
    • (1998) , vol.46 , pp. 1-10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.