Time Domain Synthesis of Recursive Digital Filters for Finite Interval Response

Thanapong JATURAVANICH; Akinori NISHIHARA

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Thanapong JATURAVANICH, Akinori NISHIHARA, "Time Domain Synthesis of Recursive Digital Filters for Finite Interval Response" in IEICE TRANSACTIONS on Fundamentals, vol. E76-A, no. 6, pp. 984-989, June 1993, doi: .
Abstract: A least squares approximation method of recursive digital filters for finite interval response with zero value outside the interval is presented. According to the characteristic of the method, the modified Gauss Method is utilized in iteratively determining design parameters. Convergence, together with the stability of the resulting filter, are guaranteed.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e76-a_6_984/_p

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@ARTICLE{e76-a_6_984,
author={Thanapong JATURAVANICH, Akinori NISHIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Time Domain Synthesis of Recursive Digital Filters for Finite Interval Response},
year={1993},
volume={E76-A},
number={6},
pages={984-989},
abstract={A least squares approximation method of recursive digital filters for finite interval response with zero value outside the interval is presented. According to the characteristic of the method, the modified Gauss Method is utilized in iteratively determining design parameters. Convergence, together with the stability of the resulting filter, are guaranteed.},
keywords={},
doi={},
ISSN={},
month={June},}

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TY - JOUR
TI - Time Domain Synthesis of Recursive Digital Filters for Finite Interval Response
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 984
EP - 989
AU - Thanapong JATURAVANICH
AU - Akinori NISHIHARA
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1993
AB - A least squares approximation method of recursive digital filters for finite interval response with zero value outside the interval is presented. According to the characteristic of the method, the modified Gauss Method is utilized in iteratively determining design parameters. Convergence, together with the stability of the resulting filter, are guaranteed.
ER -