Details

Autor(en) / Beteiligte

• Ling, B. W. K.
• Wu, C. Z.
• Teo, K. L.
• Rehbock, V.

Titel

Global Optimal Design of IIR Filters via Constraint Transcription and Filled Function Methods

Ist Teil von

• Circuits, systems, and signal processing, 2013-06, Vol.32 (3), p.1313-1334

Ort / Verlag

Boston: SP Birkhäuser Verlag Boston

Erscheinungsjahr

2013

Quelle

SpringerLink

Beschreibungen/Notizen

• In this paper, we consider a globally optimal design of IIR filters. We formulate the design problem as a nonconvex optimization problem with a continuous inequality constraint and a nonconvex constraint. To solve this problem, the constraint transcription method is applied to tackle the continuous inequality constraint. In order to avoid the obtained solution being on the boundary of the feasible set, more than one initial points are used. Moreover, since the objective and the constraints are nonconvex functions, there may be many local minima. To address this problem, the filled function method is applied to escape from the local minima. Some numerical computer simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.