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Eric V. York

dblp:65/6026 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Coding theory · 80% Logic in computer science · 10% Mathematical optimization · 10%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes
convolutional codes
0.131999
BCH convolutional codes · IEEE Trans. Inf. Theory 1999
On the generalized Hamming weights of convolutional codes · IEEE Trans. Inf. Theory 1997
On behaviors and convolutional codes · IEEE Trans. Inf. Theory 1996
Coding theory
generalized hamming weights
0.011997
On the generalized Hamming weights of convolutional codes · IEEE Trans. Inf. Theory 1997
Coding theory › error-correcting codes › block codes › linear code › code parameters
weight hierarchy
0.011997
On the generalized Hamming weights of convolutional codes · IEEE Trans. Inf. Theory 1997
Coding theory › error-correcting codes › code construction
algebraic construction
0.011996
On behaviors and convolutional codes · IEEE Trans. Inf. Theory 1996
Logic in computer science › algebraic specification
behavioral specification
0.011996
On behaviors and convolutional codes · IEEE Trans. Inf. Theory 1996
Mathematical optimization › continuous optimization › convex optimization
first-order methods
0.011996
On behaviors and convolutional codes · IEEE Trans. Inf. Theory 1996
Coding theory › error-correcting codes › cyclic codes
BCH codes
0.011999
BCH convolutional codes · IEEE Trans. Inf. Theory 1999
Coding theory › error-correcting codes
block codes
0.011999
BCH convolutional codes · IEEE Trans. Inf. Theory 1999

Methods — techniques the papers use, named apart from their topics

upper and lower bounds · 0.0kronecker indices · 0.0parity-check matrix construction · 0.0systems theory · 0.0duality · 0.0
YearPublicationVenuePosition
1999 BCH convolutional codes
abstract
Using a new parity-check matrix, a class of convolutional codes with a designed free distance is introduced. This new class of codes has many characteristics of BCH block codes, therefore, we call these codes BCH convolutional codes.
Joachim Rosenthal, Eric V. York
IEEE Trans. Inf. Theory2
1997 On the generalized Hamming weights of convolutional codes
abstract
Motivated by applications in cryptology, Wei (1991) introduced the concept of a generalized Hamming weight for a linear block code. In this correspondence, we define generalized Hamming weights for the class of convolutional codes and we derive several of their basic properties. By restricting to convolutional codes having a generator matrix G(D) with bounded Kronecker indices we are able to derive upper and lower bounds on the weight hierarchy.
Joachim Rosenthal, Eric V. York
IEEE Trans. Inf. Theory2
1996 On behaviors and convolutional codes
abstract
It is well known that a convolutional code is essentially a linear system defined over a finite field. In this paper we elaborate on this connection. We define a convolutional code as the dual of a complete linear behavior in the sense of Willems (1979). Using ideas from systems theory, we describe a set of generalized first-order descriptions for convolutional codes. As an application of these ideas, we present a new algebraic construction for convolutional codes.
Joachim Rosenthal, Johannes M. Schumacher, Eric V. York
IEEE Trans. Inf. Theory3