Information-Spectrum Methods in Information Theory

By 韓太舜, H. Koga. 2002

879 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c96f143d7fd5c798449f23f17450c1b3045277a8

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Citations in the corpus

Rate-Distortion-Perception Tradeoff of Variable-Length Source Coding for General Information Sources (2018, background): “2 Preliminaries The following definitions are borrowed from Han’s textbook [2].”
Fundamental Limits of Communication With Low Probability of Detection (2015, methodology): “This cannot be shown using the asymptotic equipartition property [12], or the informationspectrum method [15], [16], because we are in a situation where communication rate is zero.”
Group testing: an information theory perspective (2019, unknown): “The analysis is based on thresholding techniques that are rooted in early informationtheoretic works, such as [76, 175], as well as recent developments in informationspectrum methods [99].”
Information Spectrum Approach to Second-Order Coding Rate in Channel Coding (2008, methodology): “Theorem 8: (Han[ 5 ], Hayashi & Nagaoka [15]) The relations”
Optimal sequence of quantum measurements in the sense of Stein's lemma in quantum hypothesis testing (2002, methodology): “In classical information theory, by using the information-spectrum method, Han [12, 13] studied hypothesis testing based on such a general setting.”
Error exponent in asymmetric quantum hypothesis testing and its application to classical-quantum channel coding (2006, unknown): “This kind of relation between hypothesis testing and channel coding was obtained by Verdú and Han [21], and it was researched by Han [22] more deeply[24].”
Covert Communication Over Noisy Channels: A Resolvability Perspective (2015, background): “, [4], and undetectable communication [5], [6]. The main conceptual contribution of this technical report is to revisit the problem of covert communication from the perspective of resolvability [14], [15]. This conceptual connection allows us to treat continous and discrete channels alike, and to es”
Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “The information-energy transfer formulation is also mathematically similar 3.15 3.16 3.17 to the classical problem of cost-constrained capacity in [92, Thm. 6.11] and [93, Thm. 3.7.2].”
General formulas for capacity of classical-quantum channels (2002, methodology): “Before proceeding to the direct and strong converse parts, we introduce quantum analogues of the spectral inf- and sup-divergence rates [11] (see Remark 6): given arbitrary sequences of states ~ ρ = {ρ(n)} and ~ σ = {σ(n)}, let”