Title :
On the error exponent for woven convolutional codes with inner warp
Author :
Zyablov, Victor V. ; Shavgulidze, Sergo ; Johannesson, Rolf
Author_Institution :
Inst. for Problems of Inf. Transmission, Acad. of Sci., Moscow, Russia
fDate :
3/1/2001 12:00:00 AM
Abstract :
In this correspondence, the error exponents and decoding complexity of binary woven convolutional codes with outer and inner warp are studied. It is shown that for both constructions an error probability that is exponentially decreasing with the memory of the woven convolutional codes can be achieved with a nonexponentially increasing decoding complexity. Furthermore, the error exponent for woven convolutional codes with inner warp is larger than the one for woven convolutional codes with outer warp
Keywords :
Viterbi decoding; binary codes; computational complexity; convolutional codes; error statistics; interleaved codes; binary codes; decoding complexity; error exponent; error probability; inner warp; outer warp; woven convolutional codes; Associate members; Channel capacity; Convolutional codes; Councils; Decoding; Digital communication; Error probability; Information technology; Information theory;
Journal_Title :
Information Theory, IEEE Transactions on
