2014
DOI: 10.1109/tie.2013.2290765
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Abstract: Most design problems of digital filters (or differentiators) are formulated with a set of grid point in the frequency region (frequency sampling). These problems are usually difficult to solve, and often require iterative optimization. The objective of this paper is to provide an efficient and simplified design approach to multi-band filters (including low-pass filters or high-pass filters) as well as full-band differentiators. The proposed method does not require frequency sampling and iterative optimization … Show more

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Cited by 24 publications
(23 citation statements)
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References 19 publications
(32 reference statements)
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“…Based on the difference of impulse responses, digital filters can be categorized into two classes [1]: finite impulse response (FIR) filters [2]- [4] and infinite impulse response (IIR) filters [5]- [16]. Although the stability of FIR filters can be guaranteed, the order of FIR filters is generally higher than that of IIR filters.…”
Section: Introductionmentioning
confidence: 99%
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“…Based on the difference of impulse responses, digital filters can be categorized into two classes [1]: finite impulse response (FIR) filters [2]- [4] and infinite impulse response (IIR) filters [5]- [16]. Although the stability of FIR filters can be guaranteed, the order of FIR filters is generally higher than that of IIR filters.…”
Section: Introductionmentioning
confidence: 99%
“…highpass, bandpass and bandstop), a transformation from the lowpass prototype filter to the desired one is needed. Also, many other direct methods (without prototype filters) for designing IIR filters have been proposed [5]- [16]. As we wrote before, the design problem of the IIR filters has a non-linearity caused by the existence of the denominator polynomial and the pole constraints (stability condition).…”
Section: Introductionmentioning
confidence: 99%
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