DocumentCode :
936278
Title :
On a class of convolutional codes
Author :
Seguin, Gerald
Volume :
29
Issue :
2
fYear :
1983
fDate :
3/1/1983 12:00:00 AM
Firstpage :
215
Lastpage :
223
Abstract :
For the case when k divides n , we introduce a special class of (n,k) F -ary convolutional codes, F= GF (q) a finite field, by considering the input to an (n,k) encoder as a sequence over GF (q^{k}) , the output as a sequence over GF (q^{n}) (an idea first used by Dym [10]), and then considering encoders which correspond to convolving the input with a fixed sequence \\Gamma _{0}, \\Gamma _{1}, \\cdots \\Gamma _{m} over GF (q^{n}) . A means of obtaining an encoder G(D) from the polynomial \\Gamma (D)=\\Gamma _{0}+\\Gamma _{1}D+\\cdots +\\Gamma _{m}D^{m} with respect to a basis for GF (q^{n}) over GF (q) is described. A criterion on \\Gamma (D) in order for any G(D) obtained from it to be noncatastrophic is established, which involves computing only the greatest common divisor (gcd) among s=n/k polynomials over GF (q^{k}) . This criterion is shown to coincide with that of Massey and Sain when k=1 . It is shown that if \\Gamma (D) is noncatastrophic (i.e., if encoders obtained from it are noncatastrophic) and has zero delay, then any encoder G(D) obtained from it is minimal and has a zero-delay feed-forward inverse. The number of zero-delay noncatastrophic polynomials over GF (q^{n}) of degree m is shown to be q^{nm}(q^{n}-1)(q^{n-k}-1)/q^{n-k}(q^{k}-1) , a formula which coincides with that of Shusta [11] when k=1 . The class of codes just described is shown to form a group under multiplication. If the basis is normal, the class is shown to be dosed under cyclic shifting. When k=1 the class of codes described coincides with the class of all (n,1) F -ary convolutional codes; hence we obtain new proofs of certain well-known results about this latter class of codes. Finally, the binary rate 1/2 convolutional codes obtained from the noncatastrophic divisors of D^{15}+1 over GF (2^{2}) are studied and optimal codes of constraint lengths 6, 8 , and 12 found.
Keywords :
Convolutional coding; Galois fields; Convolutional codes; Data compression; Delay; Encoding; Galois fields; Information theory; Polynomials; Redundancy; Source coding; Stochastic processes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1983.1056653
Filename :
1056653
Link To Document :
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