Weighted Minimax Design of Sharpened CIC Filters (CROSBI ID 603944)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Molnar, Goran ; Vučić, Mladen
engleski
Weighted Minimax Design of Sharpened CIC Filters
Popular multiplierless decimation filter is the cascaded-integrator-comb (CIC) filter. However, the magnitude response of this filter has a high passband droop and poor selectivity. One technique for improving the response is sharpening. In the design of sharpened CIC filters, the Kaiser-Hamming method is well established. It results in maximally flat filters. Recently, the weighted least-squares method has been proposed. It improves the response better than the Kaiser-Hamming method. In this paper, we present a method for the design of sharpened CIC filters by using the weighted minimax error criterion. The method is based on the iterative reweighted least-squares procedure. The features of the presented method are illustrated with the design of narrowband and wideband filters. It is shown that the proposed filters are preferable compared to the maximally flat and the weighted least-squares counterparts.
cascaded-integrator-comb filters; CIC filters; minimax approximation; multirate signal processing; sharpening
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Podaci o prilogu
869-872.
2013.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
IEEE International Conference on Electronics, Circuits, and Systems
predavanje
08.12.2013-11.12.2013
Abu Dhabi, Ujedinjeni Arapski Emirati