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相关论文: Extremality for Gallager's Reliability Function $E…

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In this paper, the duality of erasures and defects will be investigated by comparing the binary erasure channel (BEC) and the binary defect channel (BDC). The duality holds for channel capacities, capacity achieving schemes, minimum…

信息论 · 计算机科学 2019-12-25 Yongjune Kim , B V K Vijaya Kumar

This paper shows that the probability that the error exponent of a given code randomly generated from a pairwise independent ensemble being smaller than a lower bound on the typical random-coding exponent tends to zero as the codeword…

信息论 · 计算机科学 2022-04-04 Giuseppe Cocco , Albert Guillén i Fàbregas , Josep Font-Segura

Let $A_1$ and $A_2$ be two circular annuli and let $\rho$ be a radial metric defined in the annuli $A_2$. We study the existence and uniqueness of the extremal problem for weighted combined energy between $A_1$ and $A_2$, and obtain that…

偏微分方程分析 · 数学 2024-06-21 Ting Peng , Chaochuan Wang , Xiaogao Feng

The purpose of this article is to study extrapolation of solvability for boundary value problems of elliptic systems in divergence form on the upper half-space assuming De Giorgi type conditions. We develop a method allowing to treat each…

经典分析与常微分方程 · 数学 2017-05-17 Pascal Auscher , Mihalis Mourgoglou

The secrecy capacity of a discrete memoryless Gaussian Wire-Tap Channel when the input is from a finite complex constellation is studied. It is shown that the secrecy capacity curves of a finite constellation plotted against the SNR, for a…

信息论 · 计算机科学 2010-10-07 G. D. Raghava , B. Sundar Rajan

This paper presents the Gaussian subordination framework to generate optimal one-sided approximations to multidimensional real-valued functions by functions of prescribed exponential type. Such extremal problems date back to the works of…

经典分析与常微分方程 · 数学 2021-09-30 Emanuel Carneiro , Friedrich Littmann

We study faulty successive cancellation decoding of polar codes for the binary erasure channel. To this end, we introduce a simple erasure-based fault model and we show that, under this model, polarization does not happen, meaning that…

信息论 · 计算机科学 2015-02-10 Alexios Balatsoukas-Stimming , Andreas Burg

Strichartz inequalities are a cornerstone of the modern theory of dispersive PDEs, but their extremizers are known explicitly only in a handful of sharp cases. The non-convexity of the underlying functional makes the problem hard, and to…

偏微分方程分析 · 数学 2026-05-08 Nicolás Valenzuela , Ricardo Freire , Claudio Muñoz

Extreme Value Theory plays an important role to provide approximation results for the extremes of a sequence of independent random variables when their distribution is unknown. An important one is given by the {generalised Pareto…

概率论 · 数学 2024-05-08 Simone A. Padoan , Stefano Rizzelli

Performance evaluation of particular channel coding has been a significant topic in coding theory, often involving the use of bounding techniques. This paper focuses on the new family of capacity-achieving codes, Spinal codes, to provide a…

信息论 · 计算机科学 2025-10-14 Aimin Li , Xiaomeng Chen , Shaohua Wu , Gary C. F. Lee , Sumei Sun

Zero-error capacity plays an important role in a whole range of operational tasks, in addition to the fact that it is necessary for practical applications. Due to the importance of zero-error capacity, it is necessary to investigate its…

信息论 · 计算机科学 2024-05-21 Holger Boche , Christian Deppe

We consider the asymptotic regularization of the maximal fidelity for the generalized Pauli channels, which is a problem similar to the classical channel capacity. In particular, we find the formulas for the extremal channel fidelities and…

量子物理 · 物理学 2019-01-30 Katarzyna Siudzińska

Statistical physics is employed to evaluate the performance of error-correcting codes in the case of finite message length for an ensemble of Gallager's error correcting codes. We follow Gallager's approach of upper-bounding the average…

无序系统与神经网络 · 物理学 2009-10-31 Yoshiyuki Kabashima , Naoya Sazuka , Kazutaka Nakamura , David Saad

One of the most studied machine learning challenges that recent studies have shown the susceptibility of deep neural networks to is the class imbalance problem. While concerted research efforts in this direction have been notable in recent…

A polar coding scheme is introduced in this paper for the wire-tap channel. It is shown that the provided scheme achieves the entire rate-equivocation region for the case of symmetric and degraded wire-tap channel, where the weak notion of…

信息论 · 计算机科学 2015-03-17 Eran Hof , Shlomo Shamai

Consider the transmission of a polar code of block length $N$ and rate $R$ over a binary memoryless symmetric channel $W$ and let $P_e$ be the block error probability under successive cancellation decoding. In this paper, we develop new…

信息论 · 计算机科学 2016-08-05 Marco Mondelli , S. Hamed Hassani , Rüdiger Urbanke

This paper studies expurgated random-coding bounds and exponents for channel coding with a given (possibly suboptimal) decoding rule. Variations of Gallager's analysis are presented, yielding several asymptotic and non-asymptotic bounds on…

信息论 · 计算机科学 2016-11-17 Jonathan Scarlett , Li Peng , Neri Merhav , Alfonso Martinez , Albert Guillén i Fàbregas

In digital systems such as fiber optical communications, the ratio between probability of errors of type $1\to 0$ and $0 \to 1$ can be large. Practically, one can assume that only one type of error can occur. These errors arecalled…

信息论 · 计算机科学 2020-04-29 Christian Deppe , Vladimir Lebedev , Georg Maringer

A framework for stealth communication with vanishing power (VP) is presented by studying binary symmetric channels. Coding theorems are proved by modifying Gallager's error exponents for VP and by applying resolvability exponents. The…

信息论 · 计算机科学 2020-06-17 Diego Lentner , Gerhard Kramer

The capacity of a channel can usually be characterized as a maximization of certain entropic quantities. From a practical point of view it is of primary interest to not only compute the capacity value, but also to find the corresponding…

信息论 · 计算机科学 2023-05-25 Holger Boche , Rafael F. Schaefer , H. Vincent Poor