VLDB 2026 Research / reviewers in the wild / expert
Richard New
dblp:60/532
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
constrained coding |
0.0 | 1 | 2002 | Constrained systems with unconstrained positions · IEEE Trans. Inf. Theory 2002 |
Coding theory › error-correcting codes › coded modulation
modulation codes |
0.0 | 1 | 2002 | Constrained systems with unconstrained positions · IEEE Trans. Inf. Theory 2002 |
Coding theory › error-correcting codes
concatenated codes |
0.0 | 1 | 2002 | Constrained systems with unconstrained positions · IEEE Trans. Inf. Theory 2002 |
Coding theory
error-correcting codes |
0.0 | 1 | 2002 | Constrained systems with unconstrained positions · IEEE Trans. Inf. Theory 2002 |
Methods — techniques the papers use, named apart from their topics
finite-state analysis · 0.0capacity computation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Constrained systems with unconstrained positionsabstractWe develop methods for analyzing and constructing combined modulation/error-correcting codes (ECC codes), in particular codes that employ some form of reversed concatenation and whose ECC decoding scheme requires easy access to soft information (e.g., turbo codes, low-density parity-check (LDPC) codes or parity codes). We expand on earlier work of Wijngaarden and Immink (1998, 2001), Immink (1999) and Fan (1999), in which certain bit positions are reserved for ECC parity, in the sense that the bit values in these positions can be changed without violating the constraint. Earlier work has focused more on block codes for specific modulation constraints. While our treatment is completely general, we focus on finite-state codes for maximum transition run (MTR) constraints. We (1) obtain some improved constructions for MTR codes based on short block lengths, (2) specify an asymptotic lower bound for MTR constraints, which is tight in very special cases, for the maximal code rate achievable for an MTR code with a given density of unconstrained positions, and (3) show how to compute the capacity of the set of sequences that satisfy a completely arbitrary constraint with a specified set of bit positions unconstrained. Jorge Campello de Souza, Brian H. Marcus, Richard New, Bruce A. Wilson |
IEEE Trans. Inf. Theory | 3 |