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[Author] Tan PENG(2hit)

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  • An Iterative Joint Source-Channel (De-)Coding and (De-)Modulation Algorithm for G.729EV in Ultrashort Wave Communication

    Tan PENG  Xiangming XU  Huijuan CUI  Kun TANG  Wei MIAO  

     
    LETTER-Speech and Hearing

      Vol:
    E91-D No:12
      Page(s):
    2897-2901

    Improving the overall performance of reliable speech communication in ultrashort wave radios over very noisy channels is of great importance and practical use. An iterative joint source-channel (de-)coding and (de-)modulation (JSCCM) algorithm is proposed for ITU-T Rec.G.729EV by both exploiting the residual redundancy and passing soft information throughout the receiver while introducing a systematic global iteration process. Being fully compatible with existing transmitter structure, the proposed algorithm does not introduce additional bandwidth expansion and transmission delay. Simulations show substantial error correcting performance and synthesized speech quality improvement over conventional separate designed systems in delay and bandwidth constraint channels by using the JSCCM algorithm.

  • Realtime Joint Speech Coding and Transmission Algorithm for High Packet Loss Rate Wireless Channels

    Tan PENG  Huijuan CUI  Kun TANG  Wei MIAO  

     
    LETTER-Speech and Hearing

      Vol:
    E91-D No:12
      Page(s):
    2892-2896

    In digital speech communication over noisy high packet loss rate wireless channels, improving the overall performance of the realtime speech coding and transmission system is of great importance. A novel joint speech coding and transmission algorithm is proposed by fully exploiting the correlation between speech coding, channel coding and the transmission process. The proposed algorithm requires no algorithm delay and less bandwidth expansion while greatly enhancing the error correcting performance and the reconstructed speech quality compared with conventional algorithms. Simulations show that the residual error rate is reduced by 84.36% and the MOS (Mean Opinion Score) is improved over 38.86%.