Corpus ID: 195833655

Error Probability Bounds for Gaussian Channels under Maximal and Average Power Constraints

@article{VazquezVilar2019ErrorPB,
  title={Error Probability Bounds for Gaussian Channels under Maximal and Average Power Constraints},
  author={G. Vazquez-Vilar},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.03163}
}
  • G. Vazquez-Vilar
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • This paper studies the performance of block coding on an additive white Gaussian noise channel under different power limitations at the transmitter. Lower bounds are presented for the minimum error probability of codes satisfying maximal and average power constraints. These bounds are tighter than previous results in the finite blocklength regime, and yield a better understanding on the structure of good codes under an average power limitation. Evaluation techniques for short and moderate… CONTINUE READING
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    References

    SHOWING 1-10 OF 17 REFERENCES
    Probability of error for optimal codes in a Gaussian channel
    • 717
    • Highly Influential
    Channel Coding Rate in the Finite Blocklength Regime
    • 1,649
    • PDF
    A Study on Universal Codes With Finite Block Lengths
    • J. Shi, R. Wesel
    • Computer Science, Mathematics
    • IEEE Transactions on Information Theory
    • 2007
    • 15
    • PDF
    Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial
    • 137
    • PDF
    Constrained capacity of the AWGN channel
    • D. Lazic, T. Beth, S. Egner
    • Computer Science
    • Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)
    • 1998
    • 8
    Multi-Class Source-Channel Coding
    • 6
    • PDF
    Bounds on communication
    • 60