Transfer function from amplitude response?

AI Thread Summary
The discussion focuses on a method for generating a polynomial for the amplitude response of a filter, which allows for customizable flatness and roll-off characteristics. The original paper provides an amplitude response formula but lacks details on deriving the corresponding transfer function. A participant successfully determined the transfer function using a Mathematica notebook and offers to share it with others interested in trying it out. The conversation highlights the collaborative nature of problem-solving in filter design. The shared notebook could be a valuable resource for those exploring similar filter responses.
cuallito
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Hi, in the paper I've attached, they give a method for generating a polynomial g for the amplitude response of a filter that gives arbitrary flatness and roll-off characteristics.

\frac{1}{\sqrt{1+g}}

And then they say the transfer function can be easily determined from this, but they don't say how.

For example, they give an amplitude response

\frac{1}{\sqrt{1+10s^{8}-24w^{10}+15w^{12}}}

and then they just say "then we will have the transfer function"

\frac{0.259}{s^{6}+2.392w^{5}+3.661s^{4}+2.755s^{3}+2.615s^{2}+1.162s+0.259}

I know how to get the transfer function from the amplitude response for a standard filter like a butterworth or chebyshev, but for ones like this?
 

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Hey, I figured it out. I wrote a Mathematica note book that does it. Anyone want it?
 
cuallito said:
Hey, I figured it out. I wrote a Mathematica note book that does it. Anyone want it?

Cool. Yes please, it would be fun to try out. Can you post it as an attachment?
 
Yeah.
 

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