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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/18824

Title: An Information-Spectrum Approach to Distributed Hypothesis Testing for General Sources
Authors: Adamou, Ismaila Salihou
Dupraz, Elsa
Matsumoto, Tad
Issue Date: 2024-03-05
Publisher: 2024 International Zurich Seminar on Information and Communication
Magazine name: Proceedings of 2024 International Zurich Seminar on Information and Communication
Start page: 144
Abstract: 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
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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