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44 Some Tools and Examples <strong>of</strong>Filter Synthesis<br />

3.1.6. Root-Finder Summary. Moore"s root finder is a practical tool that is<br />

accurate and robust except for repeated roots, when accuracy is reduced. It is<br />

based on the Cauchy-Riemann condition and the Mitrovic method for<br />

evaluation <strong>of</strong> the polynomial and its derivative. Computation is reduced by<br />

more than half when all polynomial coefficients are real. which is usually the<br />

case in modern network synthesis. There are many other applications for this<br />

fast root finder, such as in root locus plotting versus gain factors and in<br />

z-transform calculations in sampled data system design. The structure <strong>of</strong> the<br />

particular problem may result in roots being far from the origin <strong>of</strong> the<br />

complex plane; in these cases, where the root finder may be slow or may fail<br />

to converge, scaling <strong>of</strong> polynomial coefficients can reduce each root by either<br />

a factor or a fixed amount. Roots thus found closer to the origin can then be<br />

moved back to their original location by shifting in the opposite fashion.<br />

The following sections will employ this root finder for network synthesis<br />

steps and partial fraction expansions.<br />

3.2. Polynomials From Complex Zeros and Products<br />

The next two sections describe the composition <strong>of</strong> polynomials by multiplication<br />

and addition, respectively. The computer programs provided will continue<br />

to be in BASIC language, although these calculations are just as feasible<br />

in hand-held computers. This section begins with composition <strong>of</strong> polynomials<br />

from known root factors as available in the preceding root-finder section.<br />

Complex factors will be multiplied to find the generally complex coefficients<br />

<strong>of</strong> the resulting polynomial. Then a program will be given that multiplies a<br />

sequence <strong>of</strong> polynomials having real coefficients.<br />

The last half <strong>of</strong> this section includes the beginning steps in doubly terminated<br />

network synthesis; both the ideas and the use <strong>of</strong> the computing aids are<br />

important in what follows. Power transfer from a complex source to a complex<br />

load will be introduced and then specialized to the real-source impedance<br />

case. The generalized reflection coefficient will be defined, and the Feldtkeller<br />

energy equation will be discussed for a given steady-state frequency <strong>of</strong><br />

excitation. Finally, polynomials used in network synthesis will be described,<br />

and the fundamental polynomial relationship will be derived from power<br />

transfer considerations <strong>of</strong> a lossless two-port network.<br />

3.2.1. Polynomials From Complex Zeros. Only polynomials with real coefficients<br />

are considered, so that their roots must be real or occur in conjugate<br />

pairs. A conjugate pair <strong>of</strong> complex numbers can always be expressed as a<br />

quadratic factor, as previously described by (3.18). Program B3-2 in appendix<br />

B asks for a set <strong>of</strong> complex zeros in rectangular components, then outputs the<br />

resulting polynomial coefficients, also in their rectangular components. It is<br />

interesting to confirm some <strong>of</strong> the previously described characteristics <strong>of</strong><br />

polynomials by use <strong>of</strong> this program.

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