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352 Other Direct Filter <strong>Design</strong> Methods<br />

9.2.4. Summary <strong>of</strong> Introduction to eauer Elliptic Filters. The lowpass response<br />

functions <strong>of</strong> Butterworth, Chebyshev, inverse Chebyshev, and Cauer<br />

elliptic filters have certain similarities and increasing complexity in the order<br />

given. The rational elliptic function may be written as the ratio <strong>of</strong> two even<br />

polynomials <strong>of</strong> the same even degree. Their roots are easily computed using<br />

the doubly periodic Jacobian elliptic sine function.<br />

Selectivity estimates related to choice <strong>of</strong> filter degree can be accomplished<br />

using a nomogram or a computer program. Program B9-1 does that; it also<br />

computes the trap frequencies and the attenuation at any given frequency.<br />

Symmetric elliptic filters have odd-degree N, have (N - 1)/2 traps, and<br />

have equal terminating resistances. Even-degree elliptic filters are called<br />

antimetric (from synthesis terminology, which is irrelevant to these purposes).<br />

They have N/2 traps, have unequal terminating resistances, and require either<br />

ideal transformers or one negative element. The even-degree filter just described<br />

has the exact response shape and is called a type-a filter. By arbitrarily<br />

moving two traps to infinity, the negative element or the ideal transformers<br />

are eliminated; this filter, with an approximate elliptic response, is called a<br />

type-b filter. A further aberration moves two passband zeros to the origin, to<br />

obtain equal terminating resistances; this is called a type-c filter. Both type-b<br />

and type-c filters have slightly reduced selectivity cut<strong>of</strong>f rates, but usually this<br />

is not a serious departure from predictions based on the nomogram.<br />

9.3. Doubly Terminated Elliptic Filters<br />

Amstutz (1978) published a procedure and two FORTRAN computer programs<br />

for calculating the elements <strong>of</strong> doubly terminated elliptic filters. The<br />

basis <strong>of</strong> his method will be described, and BASIC language translations <strong>of</strong> his<br />

programs, with examples, will be furnished. As seen in Program B9-1, there is<br />

little difficulty in computing the doubly periodic Jacobian elliptic functions.<br />

However, it was also noted that round-<strong>of</strong>f error can be a problem. Another<br />

Amstutz contribution was a more accurate computation <strong>of</strong> these functions,<br />

especially the elliptic sine function; his method utilizes infinite products<br />

instead <strong>of</strong> infinite summations.<br />

The Amstutz method is quite straightforward, although it incorporates one<br />

subtle step. He computes the poles and zeros <strong>of</strong> elliptic filter transducer<br />

function H and characteristic function K, as described in Section 3.2.4. As in<br />

(3.52), he obtains the rational polynomial <strong>of</strong> the reflection coefficient in factor<br />

form. Attention is then restricted to the trap frequencies. It is clear from<br />

Figure 9.12 that the input coefficient magnitude at these frequencies must be<br />

unity (complete reflection). Thus Amstutz finds very simple expressions for<br />

both the input impedance and its derivative with respect to frequency Zin (i.e.,<br />

group delay) at the trap frequencies. Again referring to Figure 9.12a, the input<br />

impedance at/the frequency where M I and K 1 are resonant is clearly Zin = sL I .<br />

Also, it can be shown that M 1 and K 1 can be found from Z'n'

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