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In 1973, Gallager proved that the random-coding bound is exponentially tight for the random code ensemble at all rates, even below expurgation. This result explained that the random-coding exponent does not achieve the expurgation exponent…

Information Theory · Computer Science 2013-08-29 Yuval Domb , Ram Zamir , Meir Feder

We establish a general formula for the maximum size of finite length block codes with minimum pairwise distance no less than $d$. The achievability argument involves an iterative construction of a set of radius-$d$ balls, each centered at a…

Information Theory · Computer Science 2018-05-03 Ling-Hua Chang , Po-Ning Chen , Vincent Y. F. Tan , Carol Wang , Yunghsiang S. Han

We construct new stabilizer quantum error-correcting codes from generalized monomial-Cartesian codes. Our construction uses an explicitly defined twist vector, and we present formulas for the minimum distance and dimension. Generalized…

Information Theory · Computer Science 2024-10-25 Beatriz Barbero-Lucas , Fernando Hernando , Helena Martín-Cruz , Gary McGuire

In the context of error control in random linear network coding, it is useful to construct codes that comprise well-separated collections of subspaces of a vector space over a finite field. In this paper, the metric used is the so-called…

Information Theory · Computer Science 2009-04-08 Azadeh Khaleghi , Frank R. Kschischang

We give some natural sufficient conditions for balls in a metric space to have small intersection. Roughly speaking, this happens when the metric space is (i) expanding and (ii) well-spread, and (iii) a certain random variable on the…

Combinatorics · Mathematics 2022-01-04 Jaehoon Kim , Hong Liu , Tuan Tran

The Gilbert type bound for codes in the title is reviewed, both for small and large alphabets. Constructive lower bounds better than these existential bounds are derived from geometric codes, either over Fp or Fp2 ; or over even degree…

Information Theory · Computer Science 2013-02-12 Hugues Randriam , Lin Sok , Patrick Solé

In the first part of the paper we consider binary input channels that are not necessarily stationary and show how positive rates can be achieved using codes constrained to be within predetermined dictionaries. We use a…

Information Theory · Computer Science 2020-12-22 Ghurumuruhan Ganesan

Random linear codes are a workhorse in coding theory, and are used to show the existence of codes with the best known or even near-optimal trade-offs in many noise models. However, they have little structure besides linearity, and are not…

Computational Complexity · Computer Science 2024-07-11 Venkatesan Guruswami , Jonathan Mosheiff

Given positive integers $n$ and $d$, let $A_2(n,d)$ denote the maximum size of a binary code of length $n$ and minimum distance $d$. The well-known Gilbert-Varshamov bound asserts that $A_2(n,d) \geq 2^n/V(n,d-1)$, where $V(n,d) =…

Combinatorics · Mathematics 2007-07-16 Tao Jiang , Alexander Vardy

Analytic combinatorics in several variables refers to a suite of tools that provide sharp asymptotic estimates for certain combinatorial quantities. In this paper, we apply these tools to determine the Gilbert-Varshamov (GV) bound for the…

Combinatorics · Mathematics 2024-09-04 Goyal Keshav , Duc Tu Dao , Han Mao Kiah , Mladen Kovacevic

In this paper q-ary Raptor codes under ML decoding are considered. An upper bound on the probability of decoding failure is derived using the weight enumerator of the outer code, or its expected weight enumerator if the outer code is drawn…

Information Theory · Computer Science 2016-11-21 Francisco Lázaro , Gianluigi Liva , Enrico Paolini , Gerhard Bauch

We revisit the linear programming bounds for the size vs. distance trade-off for binary codes, focusing on the bounds for the almost-balanced case, when all pairwise distances are between $d$ and $n-d$, where $d$ is the code distance and…

Information Theory · Computer Science 2021-07-19 Venkatesan Guruswami , Andrii Riazanov

Comparing structured data from possibly different metric-measure spaces is a fundamental task in machine learning, with applications in, e.g., graph classification. The Gromov-Wasserstein (GW) discrepancy formulates a coupling between the…

Machine Learning · Computer Science 2022-07-12 Hongwei Jin , Zishun Yu , Xinhua Zhang

Let A(q,n,d) denote the maximum size of a q-ary code of length n and distance d. We study the minimum asymptotic redundancy \rho(q,n,d)=n-log_q A(q,n,d) as n grows while q and d are fixed. For any d and q<=d-1, long algebraic codes are…

Information Theory · Computer Science 2007-07-13 Sergey Yekhanin , Ilya Dumer

The continuous-variable (CV) Gaussian no-go theorem fundamentally limits the suppression of Gaussian displacement errors using only Gaussian gates and states. Prior studies have employed Gottesman-Kitaev-Preskill (GKP) states as ancillary…

Quantum Physics · Physics 2026-04-21 Fucheng Guo , Frank Mueller , Yuan Liu

One of the main objectives of quantum error-correction theory is to construct quantum codes with optimal parameters and properties. In this paper, we propose a class of 2-generator quasi-cyclic codes and study their applications in the…

Information Theory · Computer Science 2022-10-18 Chaofeng Guan , Ruihu Li , Liangdong Lu , Yang Liu , Hao Song

We propose an approach to Longobardi's parametric comparison method (PCM) via the theory of error-correcting codes. One associates to a collection of languages to be analyzed with the PCM a binary (or ternary) code with one code words for…

Computation and Language · Computer Science 2014-07-29 Matilde Marcolli

Unequal error protection (UEP) codes can facilitate the transmission of messages with different protection levels. In this paper, we study the achievability bounds on UEP by the generalization of Gilbert-Varshamov (GV) bound. For the first…

Information Theory · Computer Science 2024-08-15 Liuquan Yao , Shuai Yuan , Yuan Li , Huazi Zhang , Jun Wang , Guiying Yan , Zhiming Ma

We present new constructions of codes for asymmetric channels for both binary and nonbinary alphabets, based on methods of generalized code concatenation. For the binary asymmetric channel, our methods construct nonlinear…

Information Theory · Computer Science 2015-04-15 Markus Grassl , Peter Shor , Graeme Smith , John Smolin , Bei Zeng

In this letter we consider the ensemble of codes formed by the serial concatenation of a Hamming code and two accumulate codes. We show that this ensemble is asymptotically good, in the sense that most codes in the ensemble have minimum…

Information Theory · Computer Science 2009-05-29 Alexandre Graell i Amat , Raphael Le Bidan