An approach to the sensitivity and statistical variability of biquadratic filters

In attempting to predict the behavior of a filter during and at the end of its life, one is led to the study of sensitivity and then one must compare worst-case and expected results. This paper shows that sensitivity can be expressed as a sum of terms, where each term is the product of two sensitivity functions. One is the frequency-dependent sensitivity of the gain to the transfer function coefficients (the gain-to-coefficient sensitivity) and the other is the well-known coefficient-to-component sensitivity. The gain-to-coefficient sensitivity clearly shows that the gain of a biquadratic function is far more sensitive to changes in the resonant frequency than to changes in only near the 3-dB frequencies. The gain is actually less sensitive to changes in near . It is also shown that coefficient-to-component sensitivities for resistors and capacitors have no effect on the mean value of the change in the gain, but have marked effects on the standard deviation.