In the previous example we looked at the general normalised second order low-pass filter function:
H(s)=1s2+sQ+1
When Q=1√2 this is known as the Butterworth function and gives a magnitude of 1√2 at the passband frequency (in the normalised function where ω=1 ). i.e.
|H(ω)|2=1(ω4+(1Q2−2)ω2+1)
|H(jω)|2ω=1=114+(√22−2)12+1=1√2
The magnitude response for an analogue low-pass filter can be generalised into function of n2 of terms of ω in the denominator where the Q term in the 2nd order case has been brought into a general purpose coefficient Dn.
|H(jω)|2=1D2nωn+...+D2ω2+1
Note that as this is a squared function it only contains even terms, which can be written:
|H(jω)|2=11+D2nω2n
Graphing this function shows the Butterworth response giving the maximally flat magnitude response in the passband:

This clearly shows for the prototype filter, when the passband frequency is normalised ωωp=1 that the magnitude response is |H(jω)|2=12.

Translating this back from jω→s domains gives the following transfer function:
11+D2nω2n|ω→s→H(s)H(−s)=11+(−1)ns2n
Giving 2n roots (poles) of the denominator:
1+(−1)ns2n=0
s2n={1=ej2kπn odd−1=ej(2k+1)πn even
Which gives us 2n poles:
sk=ej[(2k+n−1)2n]π k=1,2,....,(2n)
Each of the poles have unitary magnitude and are spread evenly around the left side of the s-plane. In all cases (except n=1) there are a set of matched conjugate pairs and in odd orders an additional pole at s=−jω.
The poles have the following polar angle and are positioned as follows on the s-plane where the circle has unitary magnitude:
The denominator polynomial for the transfer function can then be described as:
H(s)=1DB(s)whereDB(s)=n∏k=1(s−sk)=1+d1s+d2s2+...+dnsn
Where DB(s) is the Butterworth polynomial which can be expressed as a set of roots (sk) or expanded form which can be found in many places and has the following values expressed in factored or non-factored form.

The factored forms show sets of quadratics each representing the complex-conjugate pairs. The polynomial terms can be calculated by:
dk=cos((k−1)π2)sin(kπ2n)dk−1k=1,2,3...,n
So, with these numbers we just need to apply the s-plane to z-plane mapping, using the Bilinear Transform as described before to calculate the appropriate filter. Well, we didn't quite get to code tonight. Let's see how tomorrow evening goes.
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