A search procedure is developed to find good short binary <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">(N,N - 1)</tex> convolutional codes. It uses simple rules to discard from the complete ensemble of codes a large fraction whose free distance <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dfree</tex> either cannot achieve the maximum value or is equal to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dfree</tex> of some code in the remaining set. Farther, the search among the remaining codes is started in a subset in which we expect the possibility of finding codes with large values of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dfree</tex> to be good. A number of short, optimum (in the sense of maximizing <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dfree</tex> ), rate-2/3 and 3/4 codes found by the search procedure are listed.
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Erik Paaske (1974) studied this question.
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