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A fast and accurate method for evaluating joint second-order PMD ...

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FORESTIERI: A FAST AND ACCURATE METHOD FOR EVALUATING JOINT SECOND-ORDER <strong>PMD</strong> STATISTICS 2947<br />

Fig. 3. Joint pdf @Y A <strong>for</strong> (a) 1( a " <strong>and</strong> (b) 1( a 2". Contours are at IH , aIY PY FFFY IS.<br />

By using [21, eq. 10.1.48], we also have that<br />

(38)<br />

where are the spherical Bessel<br />

functions of the first kind. Substituting (37) <strong>and</strong> (38) in (10), we<br />

obtain<br />

where<br />

(39)<br />

(40)<br />

may be evaluated with the aid of [20, eq. 7.322]. 4 By using [21,<br />

eq. 10.1.45], (39) can be written as<br />

4 Notice that a factor 2 is missing in the result in [20, eq. 7.322].<br />

(41)<br />

<strong>and</strong>, taking the principal value, the square root appearing in (41)<br />

is equal to<br />

where<br />

so that (41) becomes<br />

(42)<br />

(43)<br />

(44)<br />

(45)<br />

.<br />

This is the expression to be used <strong>for</strong> <strong>evaluating</strong> the <strong>joint</strong> pdf<br />

when 2 . Notice that (45) could also be used <strong>for</strong><br />

2 , but, in this case, (11) turns out to be <strong>fast</strong>er. This is because<br />

in (45) the various elementary functions must be reevaluated <strong>for</strong><br />

each term in the series, whereas (22) only requires the evaluation<br />

of a few terms through simple recurrence relations, as already<br />

discussed. For larger values of , however, (11) would require

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