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Semi-Infinite Linear Programming: A Unified Approach to Digital Filter Design with Time- and Frequency-domain Specifications
Ansvarlig organisasjon
1999 (engelsk)Inngår i: IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print), ISSN 1057-7130, E-ISSN 1558-125X, Vol. 46, nr 6, s. 765-775Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Using the recently developed semi-infinite linear programming techniques and Caratheodory's dimensionality theory, we present a unified approach to digital filter design with time and/or frequency-domain specifications. Through systematic analysis and detailed numerical design examples, we demonstrate that the proposed approach exhibits several salient features compared to traditional methods: 1) using the unified approach, complex responses can be handled conveniently without resorting to discretization; 2) time-domain constraints can be included easily; and 3) any filter structure, recursive or nonrecursive, can be employed, provided that the frequency response can be represented by a finite-complex basis. More importantly, the solution procedure is based on the numerically efficient simplex extension algorithms. As numerical examples, a discrete-time Laguerre network is used in a frequency-domain design with additional group-delay specifications, and in a H-infinity-optimal envelope constrained filter design problem. Finally, a finite impulse response phase equalizer is designed with additional frequency domain H-infinity, robustness constraints.

sted, utgiver, år, opplag, sider
IEEE , 1999. Vol. 46, nr 6, s. 765-775
Emneord [en]
igital filter design, Laguerre filters, linear programming, semi-infinite programming
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-9815ISI: 000080907100010Lokal ID: oai:bth.se:forskinfo8A12660FBEA3D342C1256C6E0049B7B7OAI: oai:DiVA.org:bth-9815DiVA, id: diva2:837766
Tilgjengelig fra: 2012-09-18 Laget: 2002-11-11 Sist oppdatert: 2017-12-04bibliografisk kontrollert

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IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print)

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