Fir band-pass digital differentiators with flat passband and equiripple stopband characteristics. Yoshida, T., Sugiura, Y., & Aikawa, N. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 701-705, Sep., 2014.
Paper abstract bibtex Maximally flat digital differentiators are widely used as narrow-band digital differentiators because of their high accuracy around their center frequency of flat property. To obtain highly accurate differentiation over narrow-band, it is important to avoid the undesirable amplification of noise. In this paper, we introduce a design method of linear phase FIR band-pass differentiators with flat passband and equiripple stopband characteristics. The center frequency at the passband of the designed differentiators can be adjusted arbitrarily. Moreover, the proposed transfer function consists of two functions, i.e. the passband function and the stopband one. The weighting coefficients of the passband function are derived using a closed-form formula based on Jacobi Polynomial. The weighting coefficients of the stopband function are achieved using Remez algorithm.
@InProceedings{6952219,
author = {T. Yoshida and Y. Sugiura and N. Aikawa},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Fir band-pass digital differentiators with flat passband and equiripple stopband characteristics},
year = {2014},
pages = {701-705},
abstract = {Maximally flat digital differentiators are widely used as narrow-band digital differentiators because of their high accuracy around their center frequency of flat property. To obtain highly accurate differentiation over narrow-band, it is important to avoid the undesirable amplification of noise. In this paper, we introduce a design method of linear phase FIR band-pass differentiators with flat passband and equiripple stopband characteristics. The center frequency at the passband of the designed differentiators can be adjusted arbitrarily. Moreover, the proposed transfer function consists of two functions, i.e. the passband function and the stopband one. The weighting coefficients of the passband function are derived using a closed-form formula based on Jacobi Polynomial. The weighting coefficients of the stopband function are achieved using Remez algorithm.},
keywords = {band-pass filters;band-stop filters;equiripple filters;FIR filters;Jacobian matrices;transfer functions;FIR band pass digital differentiators;flat passband;equiripple stopband characteristics;narrow band digital differentiators;linear phase FIR band pass differentiators;transfer function;closed form formula;Jacobi polynomial;Remez algorithm;Passband;Band-pass filters;Finite impulse response filters;Attenuation;Design methodology;Frequency response;Bandwidth;Digital differentiators;maximally flat;Remez algorithm;closed-form;Jacobi polynomial},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569917745.pdf},
}
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