This chapter discusses pole-zero analysis of digital filters. Every digital filter can be specified by its poles and zeros (together with a gain factor). Poles and zeros give useful insights into a filter's response, and can be used as the basis for digital filter design. This chapter additionally presents the Durbin step-down recursion for checking filter stability by finding the reflection coefficients, including matlab code.
Going back to Eq.(6.5), we can write the general transfer function for the recursive LTI digital filter as
The term ``pole'' makes sense when one plots the magnitude of as a function of z. Since is complex, it may be taken to lie in a plane (the plane). The magnitude of is real and therefore can be represented by distance above the plane. The plot appears as an infinitely thin surface spanning in all directions over the plane. The zeros are the points where the surface dips down to touch the plane. At high altitude, the poles look like thin, well, ``poles'' that go straight up forever, getting thinner the higher they go.
Notice that the feedforward coefficients from the general difference equation, Eq.(5.1), give rise to zeros. Similarly, the feedback coefficients in Eq.(5.1) give rise to poles. Recall that we defined the filter order as the maximum of and in Eq.(6.5). Therefore, the filter order equals the number of poles or zeros, whichever is greater.