Minimum distance functions of graded ideals and Reed-Muller-type codes
December 18, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Jose Martinez-Bernal, Yuriko Pitones, Rafael H. Villarreal
arXiv ID
1512.06868
Category
math.AC
Cross-listed
cs.IT,
math.AG,
math.CO,
math.NT
Citations
75
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We introduce and study the minimum distance function of a graded ideal in a polynomial ring with coefficients in a field, and show that it generalizes the minimum distance of projective Reed-Muller-type codes over finite fields. This gives an algebraic formulation of the minimum distance of a projective Reed-Muller-type code in terms of the algebraic invariants and structure of the underlying vanishing ideal. Then we give a method, based on Groebner bases and Hilbert functions, to find lower bounds for the minimum distance of certain Reed-Muller-type codes. Finally we show explicit upper bounds for the number of zeros of polynomials in a projective nested cartesian set and give some support to a conjecture of Carvalho, Lopez-Neumann and Lopez.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β math.AC
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Generalized minimum distance functions
R.I.P.
π»
Ghosted
Generalized star configurations and the Tutte polynomial
R.I.P.
π»
Ghosted
Minimum distance functions of complete intersections
R.I.P.
π»
Ghosted
Higher Hamming weights for locally recoverable codes on algebraic curves
R.I.P.
π»
Ghosted
Footprint and minimum distance functions
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted