Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4568
Title: A parameterization approach to stable recursive digital filter design
Authors: Bai, Xiaokai
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits
Issue Date: 2000
Abstract: Digital filter design is to approximate a desired frequency response with a model of transfer functions that can actually be implemented. Being a very powerful and efficient model, recursive digital filters have been extensively used in digital filter design, in which stability has been considered as one of the crucial issues. Classically, there are two different approaches to stable recursive digital filter design. In the first approach, the design problem is solved using linear/nonlinear optimization techniques with a set of linear stability constraints which ensure that the generated filter is stable. These linear stability constraints are just sufficient in the sense that they only define a sub-space of the stable transfer functions. The second approach, called indirect approach, is based on model reduction techniques such as balanced model reduction. The basic idea is to design an FIR filter of very high order first. An IIR filter of lower order is then obtained using model reduction techniques. It should be pointed out that there are two independent approximation procedures involved in this approach. In order to achieve a satisfactory performance, a very high order FIR filter has to be used.
URI: http://hdl.handle.net/10356/4568
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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