id: 01775830
dt: j
an: 01775830
au: Zyablov, Victor V.; Shavgulidze, Sergo; Johannesson, Rolf
ti: On the error exponent for woven convolutional codes with inner warp.
so: IEEE Trans. Inf. Theory 47, No.3, 1195-1199 (2001).
py: 2001
pu: Institute of Electrical and Electronics Engineers (IEEE), New York, NY
la: EN
cc: E.4
ut: decoding complexity; error exponent; woven convolutional code
ci: 
li: doi:10.1109/18.915681
ab: Summary: 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.
rv: