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相关论文: Strong converses for group testing in the finite b…

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The paper presents exponentially-strong converses for source-coding, channel coding, and hypothesis testing problems. More specifically, it presents alternative proofs for the well-known exponentially-strong converse bounds for almost…

信息论 · 计算机科学 2023-01-18 Mustapha Hamad , Michele Wigger , Mireille Sarkiss

Strong converse theorems refer to the study of impossibility results in information theory. In particular, Mosonyi and Ogawa established a one-shot strong converse bound for quantum hypothesis testing [Comm. Math. Phys, 334(3), 2014], which…

量子物理 · 物理学 2024-03-21 Hao-Chung Cheng , Li Gao

The main contribution of this paper is a strong converse result for $K$-hop distributed hypothesis testing against independence with multiple (intermediate) decision centers under a Markov condition. Our result shows that the set of type-II…

信息论 · 计算机科学 2022-05-19 Mustapha Hamad , Michèle Wigger , Mireille Sarkiss

Motivated by recent work on entanglement-assisted codes for sending messages over classical channels, the larger, easily characterised class of non-signalling codes is defined. Analysing the optimal performance of these codes yields an…

量子物理 · 物理学 2016-01-01 William Matthews

Group testing is the combinatorial problem of identifying the defective items in a population by grouping items into test pools. Recently, nonadaptive group testing - where all the test pools must be decided on at the start - has been…

信息论 · 计算机科学 2013-01-31 Matthew Aldridge

The strong converse for a coding theorem shows that the optimal asymptotic rate possible with vanishing error cannot be improved by allowing a fixed error. Building on a method introduced by Gu and Effros for centralized coding problems, we…

信息论 · 计算机科学 2019-08-22 Himanshu Tyagi , Shun Watanabe

We define capacity for group testing problems and deduce bounds for the capacity of a variety of noisy models, based on the capacity of equivalent noisy communication channels. For noiseless adaptive group testing we prove an…

信息论 · 计算机科学 2018-09-26 Leonardo Baldassini , Oliver Johnson , Matthew Aldridge

The group testing problem consists of determining a small set of defective items from a larger set of items based on a number of possibly-noisy tests, and is relevant in applications such as medical testing, communication protocols, pattern…

信息论 · 计算机科学 2023-09-19 Jonathan Scarlett , Oliver Johnson

By proving a strong converse, we strengthen the weak converse result by Salehkalaibar, Wigger and Wang (2017) concerning hypothesis testing against independence over a two-hop network with communication constraints. Our proof follows by…

信息论 · 计算机科学 2020-01-08 Daming Cao , Lin Zhou , Vincent Y. F. Tan

In this paper we provide new compact integral expressions and associated simple asymptotic approximations for converse and achievability bounds in the finite blocklength regime. The chosen converse and random coding union bounds were taken…

信息论 · 计算机科学 2016-10-25 Tomaso Erseghe

This paper studies the difficulty of discriminating between an arbitrary quantum channel and a "replacer" channel that discards its input and replaces it with a fixed state. We show that, in this particular setting, the most general…

量子物理 · 物理学 2016-06-07 Tom Cooney , Milán Mosonyi , Mark M. Wilde

We consider the problem of synthesizing joint distributions of signals and actions over noisy channels in the finite-length regime. For a fixed blocklength $n$ and an upper bound on the distance $\varepsilon$, a coding scheme is proposed…

信息论 · 计算机科学 2019-09-30 Giulia Cervia , Tobias Oechtering , Mikael Skoglund

This paper investigates the problem of synthesizing joint distributions in the finite-length regime. For a fixed blocklength $n$ and an upper bound on the distribution approximation $\epsilon$, we prove a capacity result for fixed-length…

信息论 · 计算机科学 2021-05-14 Giulia Cervia , Tobias J. Oechtering , Mikael Skoglund

Recent advances in noiseless non-adaptive group testing have led to a precise asymptotic characterization of the number of tests required for high-probability recovery in the sublinear regime $k = n^{\theta}$ (with $\theta \in (0,1)$), with…

数据结构与算法 · 计算机科学 2021-12-24 Oliver Gebhard , Max Hahn-Klimroth , Olaf Parczyk , Manuel Penschuck , Maurice Rolvien , Jonathan Scarlett , Nelvin Tan

A linear programming (LP) based framework is presented for obtaining converses for finite blocklength lossy joint source-channel coding problems. The framework applies for any loss criterion, generalizes certain previously known converses,…

信息论 · 计算机科学 2017-05-04 Sharu Theresa Jose , Ankur A. Kulkarni

In their seminal work, Bennett et al. [IEEE Trans. Inf. Theory (2002)] showed that, with sufficient shared randomness, one noisy channel can simulate another at a rate equal to the ratio of their capacities. We establish that when coding…

量子物理 · 物理学 2025-09-19 Aadil Oufkir , Yongsheng Yao , Mario Berta

A distributed binary hypothesis testing (HT) problem over a noisy (discrete and memoryless) channel studied previously by the authors is investigated from the perspective of the strong converse property. It was shown by Ahlswede and…

信息论 · 计算机科学 2020-06-09 Sreejith Sreekumar , Deniz Gündüz

We derive upper bounds on the rate of transmission of classical information over quantum channels by block codes with a given blocklength and error probability, for both entanglement-assisted and unassisted codes, in terms of a unifying…

量子物理 · 物理学 2016-01-01 William Matthews , Stephanie Wehner

A coding theorem and converse are proved for a large class of abstract stationary channels with time structure including the result by Kadota and Wyner (1972) on continuous-time real-valued channels as special cases. As main contribution…

信息论 · 计算机科学 2018-04-18 Martin Mittelbach , Eduard A. Jorswieck

Non-adaptive group testing refers to the problem of inferring a sparse set of defectives from a larger population using the minimum number of simultaneous pooled tests. Recent positive results for noiseless group testing have motivated the…

信息论 · 计算机科学 2021-07-16 Gabriel Arpino , Nicolò Grometto , Afonso S. Bandeira
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