Title: Compensation for bilinear transform distortion of filter frequency response · Issue #241 · python-acoustics/python-acoustics · GitHub
Open Graph Title: Compensation for bilinear transform distortion of filter frequency response · Issue #241 · python-acoustics/python-acoustics
X Title: Compensation for bilinear transform distortion of filter frequency response · Issue #241 · python-acoustics/python-acoustics
Description: The use of the bilinear transform to derive filter coefficients (such as in signal.weigh) distorts the output frequency response from the desired analog response. This effect is negligible at lower frequencies, but becomes quite signific...
Open Graph Description: The use of the bilinear transform to derive filter coefficients (such as in signal.weigh) distorts the output frequency response from the desired analog response. This effect is negligible at lower...
X Description: The use of the bilinear transform to derive filter coefficients (such as in signal.weigh) distorts the output frequency response from the desired analog response. This effect is negligible at lower...
Opengraph URL: https://github.com/python-acoustics/python-acoustics/issues/241
X: @github
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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Compensation for bilinear transform distortion of filter frequency response","articleBody":"The use of the bilinear transform to derive filter coefficients (such as in `signal.weigh`) distorts the output frequency response from the desired analog response. This effect is negligible at lower frequencies, but becomes quite significant at higher ones, for example f4 = 12194 Hz in the IEC 61672-1 A-weighting filter.\r\n\r\nAnalytical techniques for compensating for the bilinear transform distortion can be found in:\r\n\r\nRimell A N et al, 2015. Design of digital filters for frequency weightings (A and C) required for risk assessments of workers exposed to noise. _Industrial Health_, 53, 21-27\r\n\r\nand:\r\n\r\nWhite, P R and Hammond, J K, 2004. Signal processing techniques. In: _Advanced Applications in Acoustics, Noise and Vibration_, chapter 1 (Fahy F and Walker, J, eds). Spon Press.","author":{"url":"https://github.com/mlotinga","@type":"Person","name":"mlotinga"},"datePublished":"2020-02-20T11:33:54.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/241/python-acoustics/issues/241"}
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