Abstract
It is desirable to develop a decoding scheme with speed comparable to that of majority-logic decoding, and error-correcting capability approaching that of Viterbi or sequential decoding. For a given encoding rate and constraint length, this requirement can be met by using table look-up decoding. For systematic encoders, it achieves the full feedback error-correcting capability t min without any requirements such as orthogonalizability. Hence, encoders with much smaller constraint lengths can be used. For instance, rate one-half completely orthogonalizable encoders with the same d min have larger m than rate one-half OMD encoders, and rate one-half self-orthogonal encoders have even larger m. Table look-up decoding can also be used with nonsystematic encoders, and error-correcting capability t j ≥ t min is achievable if received subsequences larger than one output constraint length are used in each decoding step.
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© 1994 Springer Science+Business Media New York
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Dholakia, A. (1994). Table Look-Up Decoding. In: Introduction to Convolutional Codes with Applications. The Springer International Series in Engineering and Computer Science, vol 275. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2712-1_8
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DOI: https://doi.org/10.1007/978-1-4615-2712-1_8
Publisher Name: Springer, Boston, MA
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