Demo Data from EDBT 2026 / reviewers in the wild / expert
Achim Fahrner
dblp:70/8707
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 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
1 paper |
Coding theory · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › decoding › iterative decoding › iterative hard-decision decoding
bit-flipping decoding |
0.1 | 1 | 2009 | Two bit-flipping decoding algorithms for low-density parity-check codes · IEEE Trans. Commun. 2009 |
Coding theory › error-correcting codes › decoding
decoding algorithms |
0.1 | 1 | 2009 | Two bit-flipping decoding algorithms for low-density parity-check codes · IEEE Trans. Commun. 2009 |
Coding theory
error-correcting codes |
0.1 | 1 | 2009 | Two bit-flipping decoding algorithms for low-density parity-check codes · IEEE Trans. Commun. 2009 |
Coding theory › error-correcting codes › decoding
iterative decoding |
0.1 | 1 | 2009 | Two bit-flipping decoding algorithms for low-density parity-check codes · IEEE Trans. Commun. 2009 |
Coding theory › error-correcting codes
LDPC codes |
0.1 | 1 | 2009 | Two bit-flipping decoding algorithms for low-density parity-check codes · IEEE Trans. Commun. 2009 |
Methods — techniques the papers use, named apart from their topics
soft-decision decoding · 0.1simulation · 0.1loop detection · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Two bit-flipping decoding algorithms for low-density parity-check codesabstractIn this letter, a low complexity decoding algorithm for binary linear block codes is applied to low-density paritycheck (LDPC) codes and improvements are described, namely an extension to soft-decision decoding and a loop detection mechanism. For soft decoding, only one real-valued addition per code symbol is needed, while the remaining operations are only binary as in the hard decision case. The decoding performance is considerably increased by the loop detection. Simulation results are used to compare the performance with other known decoding strategies for LDPC codes, with the result that the presented algorithms offer excellent performances at smaller complexity. T. Magloire, Telex Magloire Nkouatchah Ngatched, Martin Bossert, Achim Fahrner, Fambirai Takawira |
IEEE Trans. Commun. | 4 |
| 2005 | Two decoding algorithms for low-density parity-check codesabstractIn this paper, a low complexity algorithm for binary linear block codes is applied to low-density parity-check (LDPC) codes and improvements are described, namely an extension to soft-decision decoding and a loop detection mechanism. For soft decoding, only one real-valued addition per code symbol is needed, while the remaining operations are only binary as in the hard decision case. The decoding performance is considerably increased by the loop detection. Simulation results are used to compare the performance with other known decoding strategies for LDPC codes, with the result that the presented algorithms offer excellent performance at smaller complexity. Telex Magloire Nkouatchah Ngatched, Martin Bossert, Achim Fahrner |
ICC | 3 |
| 2004 | On GEL codes for partial response channelsabstractThis work investigates the performance of a class of concatenated error correcting block codes, called generalized error-locating codes, over partial response channels as they are found in digital magnetic storage systems. Generalized error-locating codes are suited for high-rate high-speed applications due to the low-complexity hard input decoding algorithm. The code and the decoding algorithm is constructed according to the error structure of the channel to spend the redundancy in an advantageous way. Simulation results for the (precoded) partial response channel 1-D/sup 2/ (PR4) compare results for different sector lengths. It is also explained how a modulation constraint can be included in the system. The generalized error-locating codes show an impressive gain over the classically used Reed-Solomon outer codes with comparable decoding complexity. Achim Fahrner, Helmut Fecker, Robert Klarer, Helmut Grießer |
ICC | 1 |