2017
DOI: 10.1051/matecconf/201712505004
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Splitting Magnitude Response into Real and Imaginary Parts

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“…An advantage of ID method is that it effectively eliminates various effects, such as data truncation, rounding-off, etc., from which cannot be avoided by the frequency-domain methods. The identification method has been also used for constructing discrete-time algorithms for non-linear transforms, such as computing the real and imaginary parts [24,25] and the relaxation spectrum [26,27] from the magnitude response, where a non-linear transform is approximated by the convolution transform. A main drawback of the ID method often pointed out in the literature [17][18][19] is dependence of the filter coefficients on the pair of input and output functions chosen for the identification.…”
Section: Discrete-time Filters For Computing Convolution Transformsmentioning
confidence: 99%
“…An advantage of ID method is that it effectively eliminates various effects, such as data truncation, rounding-off, etc., from which cannot be avoided by the frequency-domain methods. The identification method has been also used for constructing discrete-time algorithms for non-linear transforms, such as computing the real and imaginary parts [24,25] and the relaxation spectrum [26,27] from the magnitude response, where a non-linear transform is approximated by the convolution transform. A main drawback of the ID method often pointed out in the literature [17][18][19] is dependence of the filter coefficients on the pair of input and output functions chosen for the identification.…”
Section: Discrete-time Filters For Computing Convolution Transformsmentioning
confidence: 99%