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Bilinear transform
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== General second-order biquad transformation == A similar process can be used for a general second-order filter with the given transfer function :<math>H_a(s) = \frac{b_0 s^2 + b_1 s + b_2}{a_0 s^2 + a_1 s + a_2} = \frac{b_0 + b_1 s^{-1} + b_2 s^{-2}}{a_0 + a_1 s^{-1} + a_2 s^{-2}} \ . </math> This results in a discrete-time [[digital biquad filter]] with coefficients expressed in terms of the coefficients of the original continuous time filter: :<math>H_d(z)=\frac{(b_0 K^2 + b_1 K + b_2) + (2b_2 - 2b_0 K^2)z^{-1} + (b_0 K^2 - b_1 K + b_2)z^{-2}}{(a_0 K^2 + a_1 K + a_2) + (2a_2 - 2a_0 K^2)z^{-1} + (a_0 K^2 - a_1 K + a_2)z^{-2}}</math> Again, the constant term in the denominator is generally normalized to 1 before deriving the corresponding [[difference equation]]. This results in :<math>H_d(z)=\frac{\frac{b_0 K^2 + b_1 K + b_2}{a_0 K^2 + a_1 K + a_2} + \frac{2b_2 - 2b_0 K^2}{a_0 K^2 + a_1 K + a_2}z^{-1} + \frac{b_0 K^2 - b_1 K + b_2}{a_0 K^2 + a_1 K + a_2}z^{-2}}{1 + \frac{2a_2 - 2a_0 K^2}{a_0 K^2 + a_1 K + a_2}z^{-1} + \frac{a_0 K^2 - a_1 K + a_2}{a_0 K^2 + a_1 K + a_2}z^{-2}}. </math> The difference equation (using the [[Digital filter#Direct form I|Direct form I]]) is :<math> y[n] = \frac{b_0 K^2 + b_1 K + b_2}{a_0 K^2 + a_1 K + a_2} \cdot x[n] + \frac{2b_2 - 2b_0 K^2}{a_0 K^2 + a_1 K + a_2} \cdot x[n-1] + \frac{b_0 K^2 - b_1 K + b_2}{a_0 K^2 + a_1 K + a_2} \cdot x[n-2] - \frac{2a_2 - 2a_0 K^2}{a_0 K^2 + a_1 K + a_2} \cdot y[n-1] - \frac{a_0 K^2 - a_1 K + a_2}{a_0 K^2 + a_1 K + a_2} \cdot y[n-2] \ . </math>
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