On $Z_pZ_{p^k}$-additive codes and their duality
August 31, 2018 · Declared Dead · 🏛 IEEE Transactions on Information Theory
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Minjia Shi, Rongsheng Wu, Denis S. Krotov
arXiv ID
1809.00008
Category
cs.IT: Information Theory
Citations
51
Venue
IEEE Transactions on Information Theory
Last Checked
5 months ago
Abstract
In this paper, two different Gray-like maps from $Z_p^α\times Z_{p^k}^β$, where $p$ is prime, to $Z_p^n$, $n={α+βp^{k-1}}$, denoted by $φ$ and $Φ$, respectively, are presented. We have determined the connection between the weight enumerators among the image codes under these two mappings. We show that if $C$ is a $Z_p Z_{p^k}$-additive code, and $C^\bot$ is its dual, then the weight enumerators of the image $p$-ary codes $φ(C)$ and $Φ(C^\bot)$ are formally dual. This is a partial generalization of [On $Z_{2^k}$-dual binary codes, arXiv:math/0509325], and the result is generalized to odd characteristic $p$ and mixed alphabet. Additionally, a construction of $1$-perfect additive codes in the mixed $Z_p Z_{p^2} ... Z_{p^k}$ alphabet is given.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
📜 Similar Papers
In the same crypt — Information Theory
R.I.P.
👻
Ghosted
R.I.P.
👻
Ghosted
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
R.I.P.
👻
Ghosted
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
📚
📚
The Cartographer
Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges
R.I.P.
👻
Ghosted
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
📚
📚
The Cartographer
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
Died the same way — 👻 Ghosted
R.I.P.
👻
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
👻
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
👻
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
👻
Ghosted