Abstract
In this paper a new decoding scheme for random convolutional codes is described. This scheme is different from other effective decoding schemes, such as sequential decoding [1] and low-density parity check codes [2]. The new scheme yields (for a certain region of information rates) an upper bound on the average number of computations which is {\em independent} of the coding constraint length. Furthermore, unlike sequential decoding, a bound on the total number of computations (rather than just on the "incorrect subset") is derived in this paper.
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