### Abstract

Lossless fixed-to-variable(FV) length codes are considered. The overflow probability is one of criteria that evaluate the performance of FV code. In the single source coding problem, there were many researches on the overflow probability. Recently, the source coding problem for correlated sources, such as Slepian-Wolf coding problem or source coding problem with side information, is one of main topics in information theory. In this paper, we consider the source coding problem with side information. Especially, we consider the FV code in the case that the encoder and the decoder can see side information. In this case, several codes were proposed and their mean code lengths were analyzed. However, there was no research about the overflow probability. We shall show two lemmas about the overflow probability. Then we obtain the condition that there exists a FV code under the condition that the overflow probability is smaller than or equal to some constant.

Original language | English |
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Title of host publication | IEEE International Symposium on Information Theory - Proceedings |

Pages | 131-135 |

Number of pages | 5 |

DOIs | |

Publication status | Published - 2010 |

Event | 2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX Duration: 2010 Jun 13 → 2010 Jun 18 |

### Other

Other | 2010 IEEE International Symposium on Information Theory, ISIT 2010 |
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City | Austin, TX |

Period | 10/6/13 → 10/6/18 |

### Fingerprint

### ASJC Scopus subject areas

- Applied Mathematics
- Modelling and Simulation
- Theoretical Computer Science
- Information Systems

### Cite this

*IEEE International Symposium on Information Theory - Proceedings*(pp. 131-135). [5513268] https://doi.org/10.1109/ISIT.2010.5513268

**On the overflow probability of lossless codes with side information.** / Nomura, Ryo; Matsushima, Toshiyasu.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IEEE International Symposium on Information Theory - Proceedings.*, 5513268, pp. 131-135, 2010 IEEE International Symposium on Information Theory, ISIT 2010, Austin, TX, 10/6/13. https://doi.org/10.1109/ISIT.2010.5513268

}

TY - GEN

T1 - On the overflow probability of lossless codes with side information

AU - Nomura, Ryo

AU - Matsushima, Toshiyasu

PY - 2010

Y1 - 2010

N2 - Lossless fixed-to-variable(FV) length codes are considered. The overflow probability is one of criteria that evaluate the performance of FV code. In the single source coding problem, there were many researches on the overflow probability. Recently, the source coding problem for correlated sources, such as Slepian-Wolf coding problem or source coding problem with side information, is one of main topics in information theory. In this paper, we consider the source coding problem with side information. Especially, we consider the FV code in the case that the encoder and the decoder can see side information. In this case, several codes were proposed and their mean code lengths were analyzed. However, there was no research about the overflow probability. We shall show two lemmas about the overflow probability. Then we obtain the condition that there exists a FV code under the condition that the overflow probability is smaller than or equal to some constant.

AB - Lossless fixed-to-variable(FV) length codes are considered. The overflow probability is one of criteria that evaluate the performance of FV code. In the single source coding problem, there were many researches on the overflow probability. Recently, the source coding problem for correlated sources, such as Slepian-Wolf coding problem or source coding problem with side information, is one of main topics in information theory. In this paper, we consider the source coding problem with side information. Especially, we consider the FV code in the case that the encoder and the decoder can see side information. In this case, several codes were proposed and their mean code lengths were analyzed. However, there was no research about the overflow probability. We shall show two lemmas about the overflow probability. Then we obtain the condition that there exists a FV code under the condition that the overflow probability is smaller than or equal to some constant.

UR - http://www.scopus.com/inward/record.url?scp=77955680717&partnerID=8YFLogxK

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U2 - 10.1109/ISIT.2010.5513268

DO - 10.1109/ISIT.2010.5513268

M3 - Conference contribution

AN - SCOPUS:77955680717

SN - 9781424469604

SP - 131

EP - 135

BT - IEEE International Symposium on Information Theory - Proceedings

ER -