Title :
On locally invertible rate-1/n convolutional encoders
Author :
Bitzer, Donald L. ; Dholakia, Ajay ; Koorapaty, Havish ; Vouk, Mladen A.
Author_Institution :
Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
A locally invertible convolutional encoder has a local inverse defined as a full rank w×w matrix that specifies a one-to-one mapping between equal-length blocks of information and encoded bits. In this correspondence, it is shown that a rate-1/n convolutional encoder is nondegenerate and noncatastrophic if and only if it is locally invertible. Local invertibility is used to obtain upper and lower bounds on the number of consecutive zero-weight branches in a convolutional codeword. Further, existence of a local inverse can be used as an alternate test for noncatastrophicity instead of the usual approach involving computation of the greatest common divisor of n polynomials
Keywords :
convolutional codes; inverse problems; matrix inversion; consecutive zero-weight branches; convolutional codeword; local inverse; locally invertible convolutional encoder; lower bounds; noncatastrophic encoder; nondegenerate encoder; rate-1/n convolutional encoder; upper bounds; Automatic repeat request; Convolutional codes; Decoding; Encoding; Error correction; High-speed networks; Testing;
Journal_Title :
Information Theory, IEEE Transactions on