An approach for adaptively approximating the Viterbi algorithm to reduce power consumption while decoding convolutional codes

@article{Henning2004AnAF,
  title={An approach for adaptively approximating the Viterbi algorithm to reduce power consumption while decoding convolutional codes},
  author={Russell E. Henning and Chaitali Chakrabarti},
  journal={IEEE Transactions on Signal Processing},
  year={2004},
  volume={52},
  pages={1443-1451}
}
Significant power reduction can be achieved by exploiting real-time variation in system characteristics. An approach is proposed and studied herein that exploits variation in signal transmission system characteristics to reduce power consumption while decoding convolutional codes. With this approach, Viterbi decoding is adaptively approximated by varying the pruning threshold of the T-algorithm and truncation length while employing trace-back memory management. A heuristic is given for finding… CONTINUE READING
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