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High-speed recursive digital filters based on the frequency-response masking approach
Linköping University, Department of Electrical Engineering.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Electronics System.
2000 (English)In: IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print), ISSN 1057-7130, Vol. 47, no 1, 48-61 p.Article in journal (Refereed) Published
Abstract [en]

The frequency-response masking approach for high-speed recursive infinite-impulse response (IIR) digital filters is introduced. In this approach, the overall filter consists of a periodic model filter, its power-complementary periodic filter, and two masking filters. The model filters are composed of two all-pass filters in parallel, whereas the masking filters are linear-phase finite-impulse response (FIR) filters. The transfer functions of the all-pass filters are functions of zM, which implies that the maximal sample frequency for the overall filter is M times that of the corresponding conventional IIR filter. The maximal sample frequency can be increased to an arbitrary level for arbitrary bandwidths. The overall filter can be designed by separately optimizing the model and masking filters with the aid of conventional approximation techniques. The obtained overall filter also serves as a good initial filter for further optimization. Both nonlinear-phase and approximately linear-phase filters are considered. By using the new approach, the potential problems of pole-zero cancellations, which are inherent in algorithm transformation techniques, are avoided. Further, robust filters under finite-arithmetic conditions can always be obtained by using wave-digital all-pass filters and non-recursive FIR filters. Several design examples are included illustrating the properties of the new filters.

Place, publisher, year, edition, pages
2000. Vol. 47, no 1, 48-61 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-34471DOI: 10.1109/82.818894Local ID: 21509OAI: diva2:255319
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2011-01-14

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Johansson, HåkanWanhammar, Lars
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Department of Electrical EngineeringThe Institute of TechnologyElectronics System
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IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print)
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