Results 1  10
of
6,966
Convolutional codes with maximum distance profile
 Syst. Contr. Lett
, 2005
"... Maximum distance profile codes are characterized by the property that two trajectories which start at the same state and proceed to a different state will have the maximum possible distance from each other relative to any other convolutional code of the same rate and degree. In this paper we use met ..."
Abstract

Cited by 19 (5 self)
 Add to MetaCart
Maximum distance profile codes are characterized by the property that two trajectories which start at the same state and proceed to a different state will have the maximum possible distance from each other relative to any other convolutional code of the same rate and degree. In this paper we use
Maximum Distance Separable Convolutional Codes
 APPL. ALGEBRA ENGRG. COMM. COMPUT
, 1998
"... A maximum distance separable (MDS) block code is a linear code whose distance is maximal among all linear block codes of rate k/n. It is well known that MDS block codes do exist if the field size is more than n. In this paper we generalize this concept to the class of convolutional codes of a fixed ..."
Abstract

Cited by 40 (10 self)
 Add to MetaCart
A maximum distance separable (MDS) block code is a linear code whose distance is maximal among all linear block codes of rate k/n. It is well known that MDS block codes do exist if the field size is more than n. In this paper we generalize this concept to the class of convolutional codes of a fixed
On the graphs with maximum distance on kdiameter
"... The distance of a set of vertices is the sum of the distances between pairs of vertices in the set. We define the kdiameter of a graph as the maximum distance of a set of k vertices; so the 2diameter is the normal diameter and the ndiameter where n is the order is the distance of the graph. We co ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
The distance of a set of vertices is the sum of the distances between pairs of vertices in the set. We define the kdiameter of a graph as the maximum distance of a set of k vertices; so the 2diameter is the normal diameter and the ndiameter where n is the order is the distance of the graph. We
On Almost Maximum Distance Separable Codes
, 2013
"... Abstract The main goal of this paper is to make link between the subjects of projective geometry, vector space and linear codes. The properties of codes and some examples are shown. Furthermore, we will give some information about the geometrical structure of the arcs. All these arcs are give rise ..."
Abstract
 Add to MetaCart
to an errorcorrecting code that corrects the maximum possible number of errors for its length.
Maximum Distance Separable SymbolPair Codes
"... Abstract—We study (symbolpair) codes for symbolpair read channels introduced recently by Cassuto and Blaum (2010). A Singletontype bound on symbolpair codes is established and infinite families of optimal symbolpair codes are constructed. These codes are maximum distance separable (MDS) in the ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
Abstract—We study (symbolpair) codes for symbolpair read channels introduced recently by Cassuto and Blaum (2010). A Singletontype bound on symbolpair codes is established and infinite families of optimal symbolpair codes are constructed. These codes are maximum distance separable (MDS
A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood
, 2003
"... The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximumlikelihood principle, which clearly satisfies these requirements. The ..."
Abstract

Cited by 2182 (27 self)
 Add to MetaCart
of distancebased and parsimony approaches. The reduction of computing time is dramatic in comparison with other maximumlikelihood packages, while the likelihood maximization ability tends to be higher. For example, only 12 min were required on a standard personal computer to analyze a data set consisting
Maximum distancegradient for robust image registration
, 2008
"... To make up for the lack of concern on the spatial information in the conventional mutual information based image registration framework, this paper designs a novel spatial feature field, namely the maximum distancegradient (MDG) vector field, for registration tasks. It encodes both the local edge i ..."
Abstract

Cited by 7 (1 self)
 Add to MetaCart
To make up for the lack of concern on the spatial information in the conventional mutual information based image registration framework, this paper designs a novel spatial feature field, namely the maximum distancegradient (MDG) vector field, for registration tasks. It encodes both the local edge
Maximum Distance Band Selection of Hyperspectral Images
"... Hyperspectral Imaging has been advanced by recent improvements in airborne imaging hardware. Early airborne HSI datasets such as Indian Pines, have a relatively low spatial and spectral resolution and are useful primarily for research purposes. Higher resolution and lower sensor noise has become the ..."
Abstract
 Add to MetaCart
algorithms. The purpose of this research is to propose a method of maximum distance automated band selection in order to preprocess hyperspectral image cube data, and present the results when compared to those using the entire data set. The goal is to significantly increase the accuracy of target detection
Fast Algorithm for Finding Maximum Distance with Space Subdivision in E2
"... Abstract. Finding an exact maximum distance of two points in the given set is a fundamental computational problem which is solved in many applications. This paper presents a fast, simple to implement and robust algorithm for finding this maximum distance of two points in E2. This algorithm is based ..."
Abstract
 Add to MetaCart
Abstract. Finding an exact maximum distance of two points in the given set is a fundamental computational problem which is solved in many applications. This paper presents a fast, simple to implement and robust algorithm for finding this maximum distance of two points in E2. This algorithm is based
Results 1  10
of
6,966