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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/18824
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| タイトル: | An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources |
| 著者: | Adamou, Ismaila Salihou
Dupraz, Elsa
Matsumoto, Tad |
| 発行日: | 2024-03-05 |
| 出版者: | 2024 International Zurich Seminar on Information and Communication |
| 誌名: | Proceedings of 2024 International Zurich Seminar on Information and Communication |
| 開始ページ: | 144 |
| 抄録: | This paper investigates Distributed Hypothesis testing (DHT), in which a source X is encoded given that side information Y is available at the decoder only. Based on the received coded data, the receiver aims to decide on the two hypotheses H0 or H1 related to the joint distribution of X and Y. While most existing contributions in the literature on DHT consider i.i.d. assumptions, this paper assumes more generic, noni. i.d., non-stationary, and non-ergodic sources models. It relies on information-spectrum tools to provide general formulas on the achievable Type-II error exponent under a constraint on the Type-I error. The achievability proof is based on a quantize-andbinning scheme. It is shown that with the quantize-and-binning approach, the error exponent boils down to a trade-off between a binning error and a decision error, as already observed for the i.i.d. sources. The last part of the paper provides error exponents for particular source models, e.g., Gaussian, stationary, and ergodic models. |
| Rights: | Copyright (c) 2024 The Authors. Ismaila Salihou Adamou, Elsa Dupraz, and Tad Matsumoto. Proceedings of 2024 International Zurich Seminar on Information and Communication, 144 (2024). |
| URI: | http://hdl.handle.net/10119/18824 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| T-MATSUMOTO-I-0115-3.pdf | | 291Kb | Adobe PDF | 見る/開く |
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