Syndrome decoding of binary-ratek/nconvolutional codes

Abstract
A state-space approach to the syndrome decoding of binary ratek/nconvolutional codes is described. State-space symmetries of a certain class of codes can be exploited to obtain a reduction in the exponent of growth of the decoder hardware. Aside from these savings it is felt that the state-space formalism developed has some unique intrinsic value.

This publication has 6 references indexed in Scilit: