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Decision depths of convolutional codes

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2 Author(s)
Anderson, J.B. ; Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; Balachandran, K.

The decision depth function of a convolutional code LD(w) is the first trellis depth at which all unmerged incorrect subset paths exceed weight w. The authors tabulate this function for most codes in common use. L D(w) specifies the path memory length of a decoder. It follows a clear asymptotic growth rule

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Information Theory, IEEE Transactions on  (Volume:35 ,  Issue: 2 )