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In this paper, we construct new families of convolutional codes. Such codes are obtained by means of algebraic geometry codes. Additionally, more families of convolutional codes are constructed by means of puncturing, extending, expanding…

Information Theory · Computer Science 2021-07-27 Francisco Revson F. Pereira , Giuliano G. La Guardia , Francisco M. de Assis

Convolutional codes are constructed, designed and analysed using row and/or block structures of unit algebraic schemes. Infinite series of such codes and of codes with specific properties are derived. Properties are shown algebraically and…

Rings and Algebras · Mathematics 2018-04-04 Ted Hurley

In this paper, we construct the first families of asymmetric quantum convolutional codes (AQCC)'s. These new AQCC's are constructed by means of the CSS-type construction applied to suitable families of classical convolutional codes, which…

Quantum Physics · Physics 2016-10-05 Giuliano G. La Guardia

Maximum-distance separable (MDS) convolutional codes form an optimal family of convolutional codes, the study of which is of great importance. There are very few general algebraic constructions of MDS convolutional codes. In this paper, we…

Information Theory · Computer Science 2015-11-24 Chin Hei Chan , Maosheng Xiong

A general method for constructing convolutional codes from units in Laurent series over matrix rings is presented. Using group ring as matrix rings, this forms a basis for in-depth exploration of convolutional codes from group ring…

Information Theory · Computer Science 2007-11-26 Ted Hurley

We characterize the affine-invariant maximal extended cyclic codes. Then by the CSS construction, we derive from these codes a family of pure quantum codes. Also for ordnq even, a new family of degenerate quantum stabilizer codes is derived…

Information Theory · Computer Science 2007-11-14 Kenza Guenda

Constacyclic codes are important classes of linear codes that have been applied to the construction of quantum codes. Six new families of asymmetric quantum codes derived from constacyclic codes are constructed in this paper. Moreover, the…

Information Theory · Computer Science 2014-04-01 Liqi Wang , Shixin Zhu

This paper proposes a new family of recursive systematic convolutional codes, defined in the non-binary domain over different Galois fields GF(q) and intended to be used as component codes for the design of non-binary turbo codes. A general…

Information Theory · Computer Science 2018-07-23 Rami Klaimi , Charbel Abdel Nour , Catherine Douillard , Joumana Farah

In this paper we show how to construct new convolutional codes from old ones by applying the well-known techniques: puncturing, extending, expanding, direct sum, the (u|u + v) construction and the product code construction. By applying…

Information Theory · Computer Science 2013-03-21 Giuliano G. La Guardia

Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper we discuss several graph-cover-based methods for deriving families of time-invariant…

Information Theory · Computer Science 2015-03-17 Ali E. Pusane , Roxana Smarandache , Pascal O. Vontobel , Daniel J. Costello

Convolutional codes are error-correcting linear codes that utilize shift registers to encode. These codes have an arbitrary block size and they can incorporate both past and current information bits. DNA codes represent DNA sequences and…

Information Theory · Computer Science 2021-11-09 Paridhi Latawa , Nuh Aydin

This paper investigates the concept of self-dual convolutional code. We derive the basic properties of this interesting class of codes and we show how some of the techniques to construct self-dual linear block codes generalize to self-dual…

Information Theory · Computer Science 2022-08-09 Sebastian Heri , Julia Lieb , Joachim Rosenthal

Convolutional stabilizer codes promise to make quantum communication more reliable with attractive online encoding and decoding algorithms. This paper introduces a new approach to convolutional stabilizer codes based on direct limit…

Quantum Physics · Physics 2007-07-13 Salah A. Aly , Andreas Klappenecker , Pradeep Kiran Sarvepalli

A new kind of Convolutional Codes generalizing Goppa Codes is proposed. This provides a systematic method for constructing convolutional codes with prefixed properties. In particular, examples of Maximum-Distance Separable (MDS)…

Optimization and Control · Mathematics 2007-07-16 J. A. Dominguez Perez , J. M. Muñoz Porras , G. Serrano Sotelo

A new construction of codes from old ones is considered, it is an extension of the matrix-product construction. Several linear codes that improve the parameters of the known ones are presented.

Information Theory · Computer Science 2024-05-01 Fernando Hernando , Diego Ruano

We introduce a new class of non-standard variable-length codes, called adaptive codes. This class of codes associates a variable-length codeword to the symbol being encoded depending on the previous symbols in the input data string. An…

Data Structures and Algorithms · Computer Science 2007-05-23 Dragos Trinca

In this paper we investigate the class of constacyclic codes, which is a natural generalization of the class of cyclic and negacyclic codes. This class of codes is interesting in the sense that it contains codes with good or even optimal…

Information Theory · Computer Science 2016-02-12 Giuliano G. La Guardia

The article provides a survey on convolutional codes stressing the connections to module theory and systems theory. Constructions of codes with maximal possible distance and distance profile are provided. The article will appear as book…

Information Theory · Computer Science 2020-01-24 Julia Lieb , Raquel Pinto , Joachim Rosenthal

In this paper, by using matrix product codes, several classes of new quantum codes are obtained. Moreover, some of them have better parameters than the previous quantum codes available.

Information Theory · Computer Science 2021-05-26 Xiusheng Liu , Hualu Liu , Long Yu

Code generation maps a program description to executable source code in a programming language. Existing approaches mainly rely on a recurrent neural network (RNN) as the decoder. However, we find that a program contains significantly more…

Machine Learning · Computer Science 2018-11-19 Zeyu Sun , Qihao Zhu , Lili Mou , Yingfei Xiong , Ge Li , Lu Zhang
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