I am studying in a text book the transformation of a continuous time Butterworth low pass filter into a discrete time filter by means of bilinear transformation: $$ s = \frac{2}{T_d}*\frac{1-z^{-1}}{1+z^{-1}} $$ which imposes the following relationship between discrete and continuous frequency variables: $$ w = 2*\arctan(\frac{\Omega*T_d}{2}) $$
As can be clearly seen from this formulas a value of $ \Omega $ = inf causes w = pi
and a value of $ \Omega $ = -inf causes w = -pi
. However, both values of w correspond to z = -1
in the Z plane
In the example a 6th order continuous time Butterworth low pass filter is designed. Its magnitude squared function in continuous time is defined by:
$$
|H_c(j\Omega)|^2 = \frac{1}{1 + (\frac{j\Omega}{j\Omega_c})^{2N} }
$$
From this formula it can be seen that as $\Omega$ goes to infinity the magnitude function goes to zero. So I can understand that in a 6th order filter there are 6 zeros in infinity (in S plane), which in discrete time means there are 6 zeros in w = pi
and hence 6 zeros in z = -1
. But:
- What about the behavior of the system in s = -inf?
- Isn't the magnitude squared function symmetric ?
Wouldn't it also cause the magnitude function to go to zero and should generate zeros on w = -pi
and z = -1