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IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19–20, 2020, Proceedings

Research Article

Approximation of DAC Codeword Distribution for Equiprobable Binary Sources Along Proper Decoding Paths

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  • @INPROCEEDINGS{10.1007/978-3-030-67514-1_1,
        author={Nan Yang and Yong Fang},
        title={Approximation of DAC Codeword Distribution for Equiprobable Binary Sources Along Proper Decoding Paths},
        proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings},
        proceedings_a={IOTAAS},
        year={2021},
        month={1},
        keywords={Slepian-Wolf coding Distributed arithmetic coding Codeword distribution Polynomial approximation},
        doi={10.1007/978-3-030-67514-1_1}
    }
    
  • Nan Yang
    Yong Fang
    Year: 2021
    Approximation of DAC Codeword Distribution for Equiprobable Binary Sources Along Proper Decoding Paths
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-67514-1_1
Nan Yang1, Yong Fang1,*
  • 1: School of Information Engineering, Chang’an University
*Contact email: fy@chd.edu.cn

Abstract

Distributed Arithmetic Coding (DAC) is an effective implementation of Slepian-Wolf coding. To research its properties, the concept of DAC codeword distribution along proper decoding paths has been introduced. For DAC codeword distribution of equiprobable binary sources along proper decoding paths, the problem was formatted as solving a system of functional equations. However, in general cases, to find the closed form of DAC codeword distribution still remains a very difficult task. This paper proposes an approximation method for DAC codeword distribution of equiprobable binary sources along proper decoding paths: polynomial approximation. At rates lower than 0.5, DAC codeword distribution can be well approximated by a polynomial. Some simulation results are given to verify theoretical analyses.

Keywords
Slepian-Wolf coding Distributed arithmetic coding Codeword distribution Polynomial approximation
Published
2021-01-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67514-1_1
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