It is well known that the computational performance of sequential decoding deteriorates greatly when channel errors occur in clusters, as in Gilbert channels. A way of using sequential decoding to exploit the memory of a Gilbert channel that alleviates this problem is presented. A Fano-like metric matched to this channel is used. The method is investigated by simulating sequential decoding utilizing the stack algorithm. The simulations confirm the feasibility of the technique.
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