- Title
- A recursive digital filter design using global optimization technique
- Creator
- Wu, Zhiyou; Gu, Yanhong
- Date
- 2006
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/55294
- Identifier
- vital:1630
- Identifier
-
https://doi.org/10.1109/APCCAS.2006.342067
- Abstract
- Close form analytical techniques for the design of a certain class of recursive digital filters such as the elliptic filter have appeared. Such close form analytical techniques are suitable for designing filters with piece-wise constant magnitude response. The design of recursive digital filters with arbitrary frequency response is a nonlinear optimization problem. Specifically, it belongs to the class of global bi-lever programming problem. Optimal solution for a global bi-lever programming problem is notoriously difficult to obtain. In this paper, the bi-lever programming problem is first converted into a differentiate one-lever problem. Consequently we not only prove that the global minimizer of the converted one-lever problem is an approximate global minimizer of the original bi-lever problem, but also a novel filled function method for the design of recursive digital filters meeting arbitrary frequency response specifications is proposed. Several design examples are presented to illustrate our new technique; E1
- Publisher
- Singapore : IEEE
- Relation
- Paper presented at APCCAS 2006, IEEE Asia Pacific Conference on Circuits and Systems, Singapore : 4th December, 2006
- Rights
- Copyright IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- Global optimization
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