An Importance Aware Weighted Coding Theorem Using Message Importance Measure

@article{Zhu2020AnIA,
  title={An Importance Aware Weighted Coding Theorem Using Message Importance Measure},
  author={Zheqi Zhu and Shanyun Liu and Rui She and Shuo Wan and P. Fan and K. Letaief},
  journal={IEEE Communications Letters},
  year={2020},
  volume={24},
  pages={1598-1601}
}
  • Zheqi Zhu, Shanyun Liu, +3 authors K. Letaief
  • Published 2020
  • Computer Science, Mathematics
  • IEEE Communications Letters
  • There are numerous scenarios in source coding where not only the code length but the importance of each value should also be taken into account. Different from the traditional coding theorems, by adding the importance weights for the length of the codes, we define the average cost of the weighted codeword length as an importance-aware measure of the codes. This novel information theoretical measure generalizes the average codeword length by assigning importance weights for each symbol according… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 13 REFERENCES
    Noiseless Coding Theorems on New Generalized Useful Information Measure of order α and β type
    2
    Coding theorems on a generalized “useful” inaccuracy
    3
    Non-Parametric Message Importance Measure: Storage Code Design and Transmission Planning for Big Data
    16
    Message Importance Measure and Its Application to Minority Subset Detection in Big Data
    19
    A Mathematical Theory of Communication
    41614
    Focusing on a probability element: Parameter selection of message importance measure in big data
    14
    Matching Users' Preference under Target Revenue Constraints in Data Recommendation Systems
    4
    Elements of Information Theory
    37934
    A quantitative-qualitative measure of information in cybernetic systems (Corresp.)
    150