1993
DOI: 10.1049/ip-g-2.1993.0036
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Improved design of digital filters satisfying a combined loss and delay specification

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Cited by 4 publications
(2 citation statements)
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“…The framework takes an initial filter design, e.g., one designed using a classical numeric approach or a modern symbolic approach [2], and finds the pole-zero locations that optimize a weighted combination of properties subject to constraints on the properties. Some of the previous multicriteria filter optimization techniques, such as [3], only optimize for one property subject to constraints on multiple properties. Another technique applies sequential quadratic programming (SQP) methods to optimize loss and delay in digital filter designs [3].…”
Section: Introductionmentioning
confidence: 99%
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“…The framework takes an initial filter design, e.g., one designed using a classical numeric approach or a modern symbolic approach [2], and finds the pole-zero locations that optimize a weighted combination of properties subject to constraints on the properties. Some of the previous multicriteria filter optimization techniques, such as [3], only optimize for one property subject to constraints on multiple properties. Another technique applies sequential quadratic programming (SQP) methods to optimize loss and delay in digital filter designs [3].…”
Section: Introductionmentioning
confidence: 99%
“…Some of the previous multicriteria filter optimization techniques, such as [3], only optimize for one property subject to constraints on multiple properties. Another technique applies sequential quadratic programming (SQP) methods to optimize loss and delay in digital filter designs [3].…”
Section: Introductionmentioning
confidence: 99%