Page 33 - Analog and Digital Filter Design
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30      Analog and Digital Filter Design





                        All analog filters are designed from a normalized lowpass model. This model is
                        a set of component values that are normalized for a w = 1 rad/s at the passband
                        edge. Passive filter models have component values that are normalized for a 1 R
                        load. Normalization  allows the use  of  a table or set of  component  values, in
                        conjunction with a single graph, to determine any filter design. This is a very
                        powerful  method,  but  transforming  and  scaling are necessary for  each filter
                        design undertaken.

                        Component values are scaled to produce an analog lowpass filter with a more
                        practical passband and, in the case of passive filters, a more practical load resist-
                        ance. The scaling process requires simple arithmetic to multiply and divide by
                        certain factors. The result of  scaling is that  the cutoff  point  is changed from
                        1 rad/s to the required frequency and the load impedance is changed from 1 R
                        to the required value.

                        Highpass filters can be produced from a lowpass model. The frequency response
                        is the reciprocal of  the lowpass response; so the attenuation of  a lowpass filter
                        model at w = 2 is the same as the equivalent highpass at o = 0.5. Passive high-
                        pass filter components are the reciprocal of  the normalized lowpass filter. This
                        means that where there are capacitors in the lowpass model, they are replaced
                        by  inductors in the highpass model. Similarly, where there are inductors in the
                        lowpass model, they are replaced by capacitors in the highpass model.

                        Bandpass and bandstop filters are more complex but can still be derived from
                        a normalized lowpass model. As an illustration, I will consider a bandpass filter
                        and describe how to find out whether the filter specification is demanding, and
                        hence I will be able to determine the filter order required to achieve it. First, I
                        need to find out the bandwidth of  the passband. Second, I need to find out the
                        stopband attenuation and the width of  the passband skirt.

                        If  the desired passband (between the points where the filter provides less than
                        3dB attenuation) extends from 2OkHz to 24kHz,  the passband  bandwidth  is
                        4kHz. Suppose a 40dB stopband attenuation  is required at frequencies below
                        10 kHz and above 40 kHz. The width of the passband skirt is thus 30 kHz, being
                        the difference between the two. The ratio of  skirt width to bandwidth is 30 + 4
                        = 7.5. In terms of  the lowpass model, the passband width is  1 rad/s, and hence
                        the skirt response at 7.5 rad/s must provide the desired 40dB attenuation. This
                        is not very demanding, so a simple filter will do.

                        Bandstop  filters have  the  inverse  response of  the  bandpass  filters described
                        above. The normalized frequency of attenuation is given by the 3 dB bandwidth
                        divided by  the width of  the stopband.

                        Active filters do not use normalized component value tables. Instead, they use
                        something called pole and zero locations. (Do not  worry too much about this
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