Design of Linear Phase FIR FIlters with Recursive Structure and Discrete Coefficients

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Hai Huyen Dam, Sven Nordebo, Kok Ley Teo, Antonio Cantoni
Title: Design of Linear Phase FIR FIlters with Recursive Structure and Discrete Coefficients
Conference name: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98
Year: 1998
Pagination: 1269-72, vol.3
ISBN: 0-7803-4428-6
City: Seattle
Organization: Blekinge Institute of Technology
Department: Dept. of Signal Processing (Institutionen för signalbehandling)
Dept. of Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Language: English
Abstract: We consider a class of FIR filters defined by the first order difference routing digital filter (DRDF) structure and sums of two powers-of-two coefficients. A novel design method is developed for constructing high quality filters with reference to the min-max error criterion. This method is highly efficient in terms of computational time. Simulation studies show a large improvement over existing methods such as quantization. In some cases, the peak ripple magnitude over the stop and pass bands is reduced by up to 13 dB over the quantization method. These results are achieved even for cases involving small number of delays.
Subject: Signal Processing\Filter Design
Keywords: error analysis, FIR filters, minimax techniques, network synthesis, recursive filters, linear phase FIR filters design, recursive structure, discrete coefficients, first order difference routing digital filter, powers-of-two coefficients, min-max error criterion, computational time, simulation studies, quantization, peak ripple magnitude, stop band, pass band, quantization method, delays, low-pass filters