Demo Data from VLDB 2026 / reviewers in the wild / expert
Helge Elbrønd Jensen
dblp:34/6594
· DBLP profile ↗
14ranked-venue papers
3as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 14 · 3 first-author
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
14 papers |
Coding theory · 99% Information theory · 1% |
Topics — the 19 heaviest of 19, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
algebraic geometry code |
0.1 | 8 | 1999 | Performance analysis of a decoding algorithm for algebraic-geometry codes · IEEE Trans. Inf. Theory 1999 Fast Erasure-and-Error Decoding of Algebraic Geometry Codes up to the Feng-Rao Bound · IEEE Trans. Inf. Theory 1998 Determination of Error Values for Algebraic-Geometry Codes and the Forney Formula · IEEE Trans. Inf. Theory 1998 |
Coding theory › error-correcting codes
decoding |
0.0 | 3 | 1998 | Determination of Error Values for Algebraic-Geometry Codes and the Forney Formula · IEEE Trans. Inf. Theory 1998 Fast decoding of algebraic-geometric codes up to the designed minimum distance · IEEE Trans. Inf. Theory 1995 Generalized Berlekamp-Massey decoding of algebraic-geometric codes up to half the Feng-Rao bound · IEEE Trans. Inf. Theory 1995 |
Coding theory › error-correcting codes › decoding
decoding algorithms |
0.0 | 3 | 1999 | Performance analysis of a decoding algorithm for algebraic-geometry codes · IEEE Trans. Inf. Theory 1999 Fast decoding of codes from algebraic plane curves · IEEE Trans. Inf. Theory 1992 Construction and decoding of a class of algebraic geometry codes · IEEE Trans. Inf. Theory 1989 |
Coding theory › error-correcting codes › algebraic geometry code
feng-rao bound |
0.0 | 2 | 1998 | Fast Erasure-and-Error Decoding of Algebraic Geometry Codes up to the Feng-Rao Bound · IEEE Trans. Inf. Theory 1998 Generalized Berlekamp-Massey decoding of algebraic-geometric codes up to half the Feng-Rao bound · IEEE Trans. Inf. Theory 1995 |
Coding theory › error-correcting codes › algebraic geometry code
hermitian codes |
0.0 | 2 | 1995 | Fast decoding of algebraic-geometric codes up to the designed minimum distance · IEEE Trans. Inf. Theory 1995 Fast decoding of codes from algebraic plane curves · IEEE Trans. Inf. Theory 1992 |
Coding theory › error-correcting codes › decoding
errors-and-erasures decoding |
0.0 | 1 | 1998 | Fast Erasure-and-Error Decoding of Algebraic Geometry Codes up to the Feng-Rao Bound · IEEE Trans. Inf. Theory 1998 |
Coding theory › error-correcting codes › algebraic geometry code
one-point codes |
0.0 | 1 | 1998 | Fast Erasure-and-Error Decoding of Algebraic Geometry Codes up to the Feng-Rao Bound · IEEE Trans. Inf. Theory 1998 |
Coding theory › error-correcting codes › block codes
linear code |
0.0 | 1 | 1996 | Optimal binary linear codes and Z4-linearity · IEEE Trans. Inf. Theory 1996 |
Coding theory › error-correcting codes
optimal codes |
0.0 | 1 | 1996 | Optimal binary linear codes and Z4-linearity · IEEE Trans. Inf. Theory 1996 |
Coding theory › error-correcting codes › codes over rings
z4-linear code |
0.0 | 1 | 1996 | Optimal binary linear codes and Z4-linearity · IEEE Trans. Inf. Theory 1996 |
Coding theory › error-correcting codes › decoding › algebraic decoding
berlekamp-massey algorithm |
0.0 | 1 | 1995 | Generalized Berlekamp-Massey decoding of algebraic-geometric codes up to half the Feng-Rao bound · IEEE Trans. Inf. Theory 1995 |
Coding theory › error-correcting codes › algebraic geometry code
designed minimum distance |
0.0 | 1 | 1995 | Fast decoding of algebraic-geometric codes up to the designed minimum distance · IEEE Trans. Inf. Theory 1995 |
Coding theory › sequences
sequence design |
0.0 | 3 | 1988 | Determination of the merit factor of Legendre sequences · IEEE Trans. Inf. Theory 1988 Autocorrelation properties of a class of infinite binary sequences · IEEE Trans. Inf. Theory 1986 Aperiodic correlations and the merit factor of a class of binary sequences · IEEE Trans. Inf. Theory 1985 |
Coding theory
error-correcting codes |
0.0 | 1 | 1993 | On the number of correctable errors for some AG-codes · IEEE Trans. Inf. Theory 1993 |
Coding theory › sequences
binary sequences |
0.0 | 1 | 1991 | The merit factor of binary sequences related to difference sets · IEEE Trans. Inf. Theory 1991 |
Coding theory › sequences › binary sequences
merit factor |
0.0 | 1 | 1991 | The merit factor of binary sequences related to difference sets · IEEE Trans. Inf. Theory 1991 |
Information theory › signal processing
signal representation |
0.0 | 1 | 1988 | Double series representation of bounded signals · IEEE Trans. Inf. Theory 1988 |
Coding theory › sequences › sequence design › correlation properties
aperiodic autocorrelation |
0.0 | 1 | 1985 | Aperiodic correlations and the merit factor of a class of binary sequences · IEEE Trans. Inf. Theory 1985 |
Coding theory › sequences › pseudorandom sequences
legendre sequences |
0.0 | 1 | 1988 | Determination of the merit factor of Legendre sequences · IEEE Trans. Inf. Theory 1988 |
Methods — techniques the papers use, named apart from their topics
sakata algorithm · 0.0sakata multidimensional berlekamp-massey · 0.0feng-rao voting · 0.0algebraic geometry over finite fields · 0.0n-dimensional generalization · 0.0feng-rao majority scheme · 0.0ergodicity postulate · 0.0asymptotic analysis · 0.0recursive calculation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Performance analysis of a decoding algorithm for algebraic-geometry codesabstractThe fast decoding algorithm for one point algebraic-geometry codes of Sakata, Elbrond Jensen, and Hoholdt (see ibid., vol. 41, p. 1762-8, Nov. 1995) corrects all error patterns of weight less than half the Feng-Rao minimum distance. In this correspondence we analyze the performance of the algorithm for heavier error patterns. It turns out that in the typical case, where the error points are "independent", one can prove that the algorithm always fails, that is gives a wrong or no answer, except for high rates where it does much better than expected. This explains the simulation results presented by O'Sullivan at the IEEE Int. Symp. Information Theory, Ulm, Germany (1997). We also show that for dependent errors the algorithm almost always corrects these. Helge Elbrønd Jensen, Rasmus Refslund Nielsen, Tom Høholdt |
IEEE Trans. Inf. Theory | 1 |
| 1998 | Determination of Error Values for Algebraic-Geometry Codes and the Forney FormulaabstractIn the decoding of one-point algebraic-geometry codes with one defining equation in two variables we generalize the Forney formula for the Bose-Chaudhuri-Hocqungham (BCH) codes. Johan P. Hansen, Helge Elbrønd Jensen, Ralf Koetter |
IEEE Trans. Inf. Theory | 2 |
| 1998 | Fast Erasure-and-Error Decoding of Algebraic Geometry Codes up to the Feng-Rao BoundabstractThis article gives an errata (that is erasure- and error-) decoding algorithm of one-point algebraic-geometry codes up to the Feng-Rao (1994) designed minimum distance using Sakata's (see Proc. 1995 IEEE Int. Symp. Information Theory, Whistler, BC, Canada, 1995) multidimensional generalization of the Berlekamp-Massey (1969) algorithm and the voting procedure of Feng and Rao. Shojiro Sakata, Douglas A. Leonard, Helge Elbrønd Jensen, Tom Høholdt |
IEEE Trans. Inf. Theory | 3 |
| 1996 | Optimal binary linear codes and Z4-linearityabstractWe give necessary and sufficient conditions for a binary linear code to be Z/sub 4/-linear. Especially we treat optimal, binary linear codes and determine all such codes with minimum weight less or equal to six which are Z/sub 4/-linear. Sylvia B. Encheva, Helge Elbrønd Jensen |
IEEE Trans. Inf. Theory | 2 |
| 1995 | Generalized Berlekamp-Massey decoding of algebraic-geometric codes up to half the Feng-Rao boundabstractWe treat a general class of algebraic-geometric codes and show how to decode these up to half the Feng-Rao bound, using an extension and modification of the Sakata algorithm (1990). The Sakata algorithm is a generalization to N dimensions of the classical Berlekamp-Massey algorithm. Shojiro Sakata, Helge Elbrønd Jensen, Tom Høholdt |
IEEE Trans. Inf. Theory | 2 |
| 1995 | Fast decoding of algebraic-geometric codes up to the designed minimum distanceabstractWe present a decoding algorithm for algebraic-geometric codes from regular plane curves, in particular the Hermitian curve, which corrects all error patterns of weight less than d*/2 with low complexity. The algorithm is based on the majority scheme of Feng and Rao (1993) and uses a modified version of Sakata's (1988) generalization of the Berlekamp-Massey algorithm. Shojiro Sakata, Jørn Justesen, Y. Madelung, Helge Elbrønd Jensen, Tom Høholdt |
IEEE Trans. Inf. Theory | 4 |
| 1993 | On the number of correctable errors for some AG-codesabstractAn algorithm that, for codes from a regular plane curve, corrects up to (d*/2)-(m/sup 2//8)+(m/4)-(9/8) errors, where d* is the designed distance and m is the degree of the curve, was presented in an earlier work (see ibid., vol.35, p.811-21, 1989). It is now shown that this bound is the best possible for the algorithm considered.> Helge Elbrønd Jensen, Tom Høholdt, Jørn Justesen |
IEEE Trans. Inf. Theory | 1 |
| 1992 | Fast decoding of codes from algebraic plane curvesabstractImprovement to an earlier decoding algorithm for codes from algebraic geometry is presented. For codes from an arbitrary regular plane curve the authors correct up to d*/2-m/sup 2//8+m/4-9/8 errors, where d* is the designed distance of the code and m is the degree of the curve. The complexity of finding the error locator is O(n/sup 7/3/), where n is the length of the code. For codes from Hermitian curves the complexity of finding the error values, given the error locator, is O(n/sup 2/), and the same complexity can be obtained in the general case if only d*/2-m/sup 2//2 errors are corrected.> Jørn Justesen, Knud J. Larsen, Helge Elbrønd Jensen, Tom Høholdt |
IEEE Trans. Inf. Theory | 3 |
| 1991 | The merit factor of binary sequences related to difference setsabstractLong binary sequences related to cyclic difference sets are investigated. Among all known constructions of cyclic difference sets it is shown that only sequences constructed from Hadamard difference sets can have an asymptotic nonzero merit factor. Maximal-length shift register sequences, Legendre, and twin-prime sequences are all constructed from Hadamard difference sets. The authors prove that the asymptotic merit factor of any maximal-length shift register sequence is three. For twin-prime sequences it is shown that the best asymptotic merit factor is six. This value is obtained by shifting the twin-prime sequence one quarter of its length. It turns out that Legendre sequences and twin-prime sequences have similar behavior. Jacobi sequences are investigated on the basis of the Jacobi symbol. The best asymptotic merit factor is shown to be six. Through the introduction of product sequences, it is argued that the maximal merit factor among all sequences of length N is at least six when N is large. The authors also demonstrate that it is fairly easy to construct sequences of moderate composite length with a merit factor close to six.> Jørn M. Jensen, Helge Elbrønd Jensen, Tom Høholdt |
IEEE Trans. Inf. Theory | 2 |
| 1989 | Construction and decoding of a class of algebraic geometry codesabstractA class of codes derived from algebraic plane curves is constructed. The concepts and results from algebraic geometry that were used are explained in detail; no further knowledge of algebraic geometry is needed. Parameters, generator and parity-check matrices are given. The main result is a decoding algorithm which turns out to be a generalization of the Peterson algorithm for decoding BCH decoder codes.> Jørn Justesen, Knud J. Larsen, Helge Elbrønd Jensen, Allan Havemose, Tom Høholdt |
IEEE Trans. Inf. Theory | 3 |
| 1988 | Determination of the merit factor of Legendre sequencesabstractM.J.E. Golay (ibid., vol.IT-23, no.1, p.43-51, 1977) has used the ergodicity postulate to calculate that the merit factor F of a Legendre sequence offset by a fraction f of its length has an asymptotic value given by 1/F=(2/3)-4 mod f mod +8f/sup 2/, mod f mod> Tom Høholdt, Helge Elbrønd Jensen |
IEEE Trans. Inf. Theory | 2 |
| 1988 | Double series representation of bounded signalsabstractSeries representations of the form f(t) approximately Sigma /sub n=- infinity //sup infinity / Sigma /sub k=- infinity //sup infinity /a/sub n,k/ nu (t-n)/sub e//sup 2 pi /kts/ for bounded signals f(t) are studied, as are conditions on the unit function nu (t), such that coefficients a/sub n,k/ reveal the energy content of f(t) in the time interval n-(1/2)> Helge Elbrønd Jensen, Tom Høholdt, Jørn Justesen |
IEEE Trans. Inf. Theory | 1 |
| 1986 | Autocorrelation properties of a class of infinite binary sequencesabstractA class of infinite\pm 1sequences is presented whose autocorrelation function is zero for all nonzero shifts. Tom Høholdt, Helge Elbrønd Jensen, Jørn Justesen |
IEEE Trans. Inf. Theory | 2 |
| 1985 | Aperiodic correlations and the merit factor of a class of binary sequencesabstractA class of binary sequences of lengthN = 2^{m}is considered, and it is shown that their aperiodic autocorrelations can be calculated recursively in a simple way. Based on this, the merit factor of the sequences is calculated and it is shown that the asymptotic value is3. Finally, it is proved that the magnitude of the maximal aperiodic autocorrelation is bounded byN^{0.9}. Tom Høholdt, Helge Elbrønd Jensen, Jørn Justesen |
IEEE Trans. Inf. Theory | 2 |