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Filter Digitization through the Bilinear Transformation is often considered a very good all-around method to produce equalizer sections. The method is well behaved in terms of stability and ease of implementation; however, the frequency warping produced by the transformation leads to abnormalities near the Nyquist frequency. Moreover, it is impossible to design parametric sections whose analog center frequencies are defined above the Nyquist frequency. These filters, even with center frequencies outside of the hearing range, have effects that extend into the hearing bandwidth with desirable characteristics during mixing and mastering. Surpassing these limitations, while controlling the abnormalities of the warping produced by the Bilinear Transform through an alternative definition of the Bilinear constant is the purpose of this paper. In the process, also a correction factor is discussed for the bandwidth of the parametric section to correct abnormalities affecting the digitization of this parameter.
Author (s): Sierra, Juan
Affiliation:
Stanford University, Stanford, CA, USA
(See document for exact affiliation information.)
AES Convention: 147
Paper Number:10224
Publication Date:
2019-10-06
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Session subject:
Audio Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=20597
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Sierra, Juan; 2019; Digital Parametric Filters Beyond Nyquist Frequency [PDF]; Stanford University, Stanford, CA, USA; Paper 10224; Available from: https://aes2.org/publications/elibrary-page/?id=20597
Sierra, Juan; Digital Parametric Filters Beyond Nyquist Frequency [PDF]; Stanford University, Stanford, CA, USA; Paper 10224; 2019 Available: https://aes2.org/publications/elibrary-page/?id=20597