1974
DOI: 10.1109/tassp.1974.1162539
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Recursive digital filter synthesis in the time domain

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Cited by 36 publications
(5 citation statements)
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“…This project designs and implements a filter based on a modified Prony's method [33][34][35][36]. This method is based on the correlation property of the filter's representation and does not require computation of any derivatives or an initial guess of the coefficient vector.…”
Section: Filter Design and Implementation Using A Modified Prony's Methodsmentioning
confidence: 99%
“…This project designs and implements a filter based on a modified Prony's method [33][34][35][36]. This method is based on the correlation property of the filter's representation and does not require computation of any derivatives or an initial guess of the coefficient vector.…”
Section: Filter Design and Implementation Using A Modified Prony's Methodsmentioning
confidence: 99%
“…The Matlab command invfreqz() which is an inverse to the freqz() command gives a similar or, perhaps, the same result as the method described in this note but uses a different formulation [14,16]. [60,61,62] A particularly interesting new Matlab program is iirlpnorm.m which allows the design of IIR filters with different degree numerator and denominators. It also allows use of an L p error minimization.…”
Section: Commentsmentioning
confidence: 99%
“…Timedomain designs can deal only with an overall frequency specification including both amplitude and phase. Such a design technique is proposed by Brophy and Salazar [55]. Due to the nonlinear programming and related problems involved in the determination of filter coefficients for a frequency-domain design of a desired IIR digital filter, it is suggested that a time-domain design may be more natural.…”
Section: The Solution Of This Problem Is Considered By Burrus and Parmentioning
confidence: 99%
“…54 A time-domain design technique proposed in Ref. 55 requires the determination of a target time sequence. The approximating filter is then forced by one of several techniques to have its unit-sample response approximate (in a least-squares sense) the target sequence.…”
Section: The Solution Of This Problem Is Considered By Burrus and Parmentioning
confidence: 99%