Influences of some families of error-correcting codes

08/03/2023
by   Hailey Egan, et al.
0

Binary codes of length n may be viewed as subsets of vertices of the Boolean hypercube {0,1}^n. The ability of a linear error-correcting code to recover erasures is connected to influences of particular monotone Boolean functions. These functions provide insight into the role that particular coordinates play in a code's erasure repair capability. In this paper, we consider directly the influences of coordinates of a code. We describe a family of codes, called codes with minimum disjoint support, for which all influences may be determined. As a consequence, we find influences of repetition codes and certain distinct weight codes. Computing influences is typically circumvented by appealing to the transitivity of the automorphism group of the code. Some of the codes considered here fail to meet the transitivity conditions requires for these standard approaches, yet we can compute them directly.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/16/2018

Error correcting codes from sub-exceeding fonction

In this paper, we present error-correcting codes which are the results o...
research
01/16/2021

On linear codes with one-dimensional Euclidean hull and their applications to EAQECCs

The Euclidean hull of a linear code C is the intersection of C with its ...
research
10/19/2020

The Projective General Linear Group PGL_2(GF(2^m)) and Linear Codes of Length 2^m+1

The projective general linear group PGL_2(GF(2^m)) acts as a 3-transitiv...
research
10/06/2020

The construction and weight distributions of all projective binary linear codes

Boolean functions can be used to construct binary linear codes in many w...
research
03/06/2021

Consensus Maximisation Using Influences of Monotone Boolean Functions

Consensus maximisation (MaxCon), which is widely used for robust fitting...
research
06/12/2020

The genesis of Hippachus' celestial globe

This paper summarises briefly and in English some of the results of the ...
research
12/02/2021

Maximum Consensus by Weighted Influences of Monotone Boolean Functions

Robust model fitting is a fundamental problem in computer vision: used t...

Please sign up or login with your details

Forgot password? Click here to reset