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Title:The Use of Multiple Criterion Optimization in Digital Filter Design
Author(s):Cortelazzo, Guido
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:This research explores for the first time the practical applicability of multiple criterion optimization techniques to digital filter design. The potential role of multiple criterion optimization in digital filter design seems rather promising as the examples of Chapter 7 illustrate.
The filter design problem specifically considered in the thesis is the simultaneous design in magnitude and group-delay of digital transfer functions. Several classes of filters, namely causal and non-causal recursive filters, non-linear phase FIR filters are considered. Examples of the optimal trade-off filters and optimal magnitude versus group-delay trade-offs (called non-inferior surfaces) are presented.
Particularly interesting are the results obtained for the non-causal recursive filters.
Issue Date:1984
Type:Text
Description:435 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.
URI:http://hdl.handle.net/2142/69282
Other Identifier(s):(UMI)AAI8422042
Date Available in IDEALS:2014-12-15
Date Deposited:1984


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