16 research outputs found
Near MDS poset codes and distributions
We study -ary codes with distance defined by a partial order of the
coordinates of the codewords. Maximum Distance Separable (MDS) codes in the
poset metric have been studied in a number of earlier works. We consider codes
that are close to MDS codes by the value of their minimum distance. For such
codes, we determine their weight distribution, and in the particular case of
the "ordered metric" characterize distributions of points in the unit cube
defined by the codes. We also give some constructions of codes in the ordered
Hamming space.Comment: 13 pages, 1 figur
Block Codes on Pomset Metric
Given a regular multiset on , a partial order
on , and a label map defined by with , we define a pomset block metric
on the direct sum of
based on the pomset . This pomset block
metric extends the classical pomset metric which accommodate Lee
metric introduced by I. G. Sudha and R. S. Selvaraj, in particular, and
generalizes the poset block metric introduced by M. M. S. Alves et al, in
general, over . We find -perfect pomset block codes for both
ideals with partial and full counts. Further, we determine the complete weight
distribution for -space, thereby obtaining it for -space, and
pomset space, over . For chain pomset, packing radius and
Singleton type bound are established for block codes, and the relation of MDS
codes with -perfect codes is investigated. Moreover, we also determine the
duality theorem of an MDS -code when all the blocks have the same
length.Comment: 17 Page
Coding in the Presence of Semantic Value of Information: Unequal Error Protection Using Poset Decoders
In this work we explore possibilities for coding when information worlds have different (semantic) values. We introduce a loss function that expresses the overall performance of a coding scheme for discrete channels and exchange the usual goal of minimizing the error probability to that of minimizing the expected loss. In this environment we explore the possibilities of using poset-decoders to make a message-wise unequal error protection (UEP), where the most valuable information is protected by placing in its proximity information words that differ by small valued information. Similar definitions and results are shortly presented also for signal constellations in Euclidean space
Duality for poset codes
Orientador: Marcelo FirerTese (doutorado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação CientificaResumo: Considerando uma generalização da métrica de Hamming, a métrica ponderada por uma ordem parcial, fazemos uma descrição sistemática para os espaços com a métrica ponderada, dando ênfase aos códigos poset e à hierarquia de pesos contextualizada nesse novo ambiente. Técnicas de multiconjunto, para códigos ponderados, são utilizadas para estender o Teorema da Dualidade de Wei, uma relação entre as hierarquias do código e do seu dual. Como consequência desta Dualidade estendemos certos resultados sobre a discrepância, códigos MDS e uma relação entre a condição cadeia do código e do seu dual.Abstract: Considering a generalization of the Hamming metric, the metric weighted by a partial order, we make a systematic description of the spaces with those metrics, emphasizing poset codes and the weight hierarchy of weights of those codes. Techniques of multiset, for weighted codes, are used to extend the Duality Theorem of Wei, a relationship between the hierarchy of a code and its dual. As a consequence of Duality we extend some results about the discrepancy, MDS codes and a relationship between a chain code and its dual.DoutoradoMatematicaDoutor em Matemátic
Applications of ordered weights in information transmission
This dissertation is devoted to a study of a class of linear codes related to a particular metric space that generalizes the Hamming space in that the metric function is defined by a partial order on the set of coordinates of the vector.
We begin with developing combinatorial and linear-algebraic aspects of linear ordered codes. In particular, we define multivariate rank enumerators for linear codes and show that they form a natural set of invariants in the study of the duality of linear codes. The rank enumerators are further shown to be connected to the shape distributions of linear codes, and enable us to give a simple proof of a MacWilliams-like theorem for the ordered case. We also pursue the connection between linear codes and matroids in the ordered case and show that the rank enumerator can be thought of as an instance of the classical matroid invariant called the Tutte polynomial. Finally, we consider the distributions of support weights of ordered codes and their expression via the rank enumerator. Altogether, these results generalize a group of well-known results for codes in the Hamming space to the ordered case.
Extending the research in the first part, we define simple probabilistic channel models that are in a certain sense matched to the ordered distance, and prove several results related to performance of linear codes on such channels. In particular, we define ordered wire-tap channels and establish several results related to the use of linear codes for reliable and secure transmission in such channel models.
In the third part of this dissertation we study polar coding schemes for channels with nonbinary input alphabets. We construct a family of linear codes that achieve the capacity of a nonbinary symmetric discrete memoryless channel with input alphabet of size q=2^r, r=2,3,.... A new feature of the coding scheme that arises in the nonbinary case is related to the emergence of several extremal configurations for the polarized data symbols. We establish monotonicity properties of the configurations and use them to show that total transmission rate approaches the symmetric capacity of the channel. We develop these results to include the case of ``controlled polarization'' under which the data symbols polarize to any predefined set of extremal configurations. We also outline an application of this construction to data encoding in video sequences of the MPEG-2 and H.264/MPEG-4 standards
Bounds on the size of codes
In this dissertation we determine new bounds and properties of codes in
three different finite metric spaces, namely the ordered Hamming space, the
binary Hamming space, and the Johnson space.
The ordered Hamming space is a generalization of the Hamming space that
arises in several different problems of coding theory and numerical
integration. Structural properties of this space are well described in the
framework of Delsarte's theory of association schemes. Relying on this
theory, we perform a detailed study of polynomials related to the ordered
Hamming space and derive new asymptotic bounds on the size of codes in this
space which improve upon the estimates known earlier.
A related project concerns linear codes in the ordered Hamming space. We
define and analyze a class of near-optimal codes, called near-Maximum
Distance Separable codes. We determine the weight distribution and provide
constructions of such codes. Codes in the ordered Hamming space are dual to
a certain type of point distributions in the unit cube used in numerical
integration. We show that near-Maximum Distance Separable codes are
equivalently represented as certain near-optimal point distributions.
In the third part of our study we derive a new upper bound on the size of
a family of subsets of a finite set with restricted pairwise intersections,
which improves upon the well-known Frankl-Wilson upper bound. The new bound
is obtained by analyzing a refinement of the association scheme of the
Hamming space (the Terwilliger algebra) and intertwining functions of the
symmetric group.
Finally, in the fourth set of problems we determine new estimates on the
size of codes in the Johnson space. We also suggest a new approach to the
derivation of the well-known Johnson bound for codes in this space. Our
estimates are often valid in the region where the Johnson bound is vacuous.
We show that these methods are also applicable to the case of multiple
packings in the Hamming space (list-decodable codes). In this context we
recover the best known estimate on the size of list-decodable codes in
a new way