タイトル | Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance |
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著者 | 吉澤 潤 、齋藤 翔太 、松嶋 敏泰 |
年度 | 2018 |
形式 | 国際学会 |
分野 | 情報源符号化 |
掲載雑誌名 | 2018 International Symposium on Information Theory and Its Applications |
掲載号・ページ | pp.354--358 |
掲載年 | 2018 |
掲載月 | 10 |
アブスト (日本語) |
2018 International Symposium on Information Theory and its Application (ISITA) 2018年10月28日~31日 Singapore 査読有 DOI:10.23919/ISITA.2018.8664364 |
アブスト (英語) |
This paper considers the problem of variable-length intrinsic randomness. We propose the average variational distance as the performance criterion from the viewpoint of a dual relationship with the problem formulation of variable-length resolvability. Previous study has derived the general formula of the ϵ-variable-length resolvability. We derive the general formula of the ϵ-variable-length intrinsic randomness. Namely, we characterize the supremum of the mean length under the constraint that the value of the average variational distance is smaller than or equal to a constant ϵ. Our result clarifies a dual relationship between the general formula of ϵ-variable-length resolvability and that of ϵ-variable-length intrinsic randomness. We also derive a lower bound of the quantity characterizing our general formula. |
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備考 (英語) |
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