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Numerical Methods for Continuous-Time EC Filtering

  • Ba-Ngu Vo
  • Antonio Cantoni
  • Kok Lay Teo
Part of the Applied Optimization book series (APOP, volume 56)

Abstract

In Chapter 2, the continuous-time EC filtering problem has been formulated for both a purely analog filter structure and a hybrid filter structure that includes analog and digital signal processing components. Both of these formulations resulted in a semi-infinite programming (SIP) problem with quadratic cost. In this chapter, three methods for solving this SIP problem are presented. These methods can be considered as extensions of the methods developed in Chapter 4 for solving the discrete-time EC filtering problem. One approach is to make use of the active set method by approximating the continuum of constraints with a finite number of constraints. A criterion is derived for selecting the granularity of the discretization to ensure feasibility of the approximate solution. This approach is attractive for its simplicity and efficiency. However, the performance tends to deteriorates with finer discretization. When this happens, we can turn to the primal-dual or penalty method. The primal-dual algorithm can be extended to the continuous-time case by discretizing the infinite dimensional dual problem (the continuum of constraints of primal problem means that the dual problem is infinite dimensional). There is no guarantee that primal solution obtained by this approach is feasible. While the active set method and primal-dual involves discretization of the primal and dual problems respectively, the penalty approach introduces approximation that does not require discretization. Moreover, feasibility of the approximate solutions are guaranteed.

Keywords

Dual Problem Magnitude Response Hybrid Filter Steep Descent Linear Interpolator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Ba-Ngu Vo
    • 1
  • Antonio Cantoni
    • 2
  • Kok Lay Teo
    • 3
  1. 1.The University of MelbourneAustralia
  2. 2.The University of Western AustraliaAustralia
  3. 3.The Hong Kong Polytechnic UniversityHong Kong

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