| Paper: | SPTM-P8.11 | ||
| Session: | Adaptive Systems and Filtering II | ||
| Time: | Thursday, May 18, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Adaptive Systems and Filtering | ||
| Title: | AN EXTENDED DUAL PARAMETERIZATION METHOD TO CONSTRAINED LEAST SQUARE LAGUERRE FILTER DESIGN | ||
| Authors: | Amin Zollanvari, Mohammad A. Masnadi-Shirazi, Shiraz University, Iran | ||
| Abstract: | Peak constrained weighted least square error (PCWLSE) design of Laguerre filters is of interest. In design process, the formulation of such Laguerre filters ends up to a semi-infinite problem with two uncountable variables. Here, an efficient method is proposed to deal with both uncountable variables. Therefore, one can design PCWLSE Laguerre filters to satisfy all the continuous constraints of the problem. Furthermore, the desired phase response is also guaranteed. The proposed method has been developed based on exploiting the dual parameterization scheme derived directly from Karush Kuhn Tucker condition. This approach may also be used to design similar asymmetric FIR filters. | ||
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