Presentation 2018-07-20
Improved Degree Distribution of LT Code and its Performance Evaluation
Takumi Ishiyama, Ryo Shibata, Gou Hosoya, Hiroyuki Yashima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The performance of LT (Luby Transform) codes depends on degree distributions. In this study, we propose a new degree distributions, which combines the Robust Soliton distribution and the Heavy tail distribution with the upper limit parameter $D$, to improve the performance of LT codes. The simulation results show that the proposed degree distributions has better decoding performance than the Robust Soliton distribution for various number of input symbols.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LT codes / degree distribution / Robust Soliton distribution / Heavy tail distribution / Ripple size
Paper # IT2018-21
Date of Issue 2018-07-12 (IT)

Conference Information
Committee IT
Conference Date 2018/7/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Yamato Kaigishitsu
Topics (in Japanese) (See Japanese page)
Topics (in English) freshman session, general
Chair Jun Muramatsu(NTT)
Vice Chair Tadashi Wadayama(Nagoya Inst. of Tech.)
Secretary Tadashi Wadayama(Nagano Pref Inst. of Tech.)
Assistant Takahiro Yoshida(Yokohama College of Commerce)

Paper Information
Registration To Technical Committee on Information Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improved Degree Distribution of LT Code and its Performance Evaluation
Sub Title (in English)
Keyword(1) LT codes
Keyword(2) degree distribution
Keyword(3) Robust Soliton distribution
Keyword(4) Heavy tail distribution
Keyword(5) Ripple size
1st Author's Name Takumi Ishiyama
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Ryo Shibata
2nd Author's Affiliation Tokyo University of Science(TUS)
3rd Author's Name Gou Hosoya
3rd Author's Affiliation Tokyo University of Science(TUS)
4th Author's Name Hiroyuki Yashima
4th Author's Affiliation Tokyo University of Science(TUS)
Date 2018-07-20
Paper # IT2018-21
Volume (vol) vol.118
Number (no) IT-139
Page pp.pp.51-56(IT),
#Pages 6
Date of Issue 2018-07-12 (IT)