EDBT 2026 Demo / reviewers in the wild / expert
Paul Yatrou
dblp:142/0913
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% | |
| Theoretical computer science
1 paper |
Coding theory · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › speech coding
adaptive differential pulse code modulation |
0.0 | 1 | 1988 | Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions · IEEE J. Sel. Areas Commun. 1988 |
Audio and music processing
speech coding |
0.0 | 1 | 1988 | Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions · IEEE J. Sel. Areas Commun. 1988 |
Coding theory › source coding
predictive coding |
0.0 | 1 | 1988 | Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions · IEEE J. Sel. Areas Commun. 1988 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1988 | Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions · IEEE J. Sel. Areas Commun. 1988 |
Methods — techniques the papers use, named apart from their topics
residual-signal-driven adaptation · 0.0lattice prediction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditionsabstractThe problem of predictor mistracking for narrowband signals in backward adaptive ADPCM (adaptive digital pulse code modulation) speech coders is shown to arise as a result of feedback from the signal reconstruction filter to the predictor adaptation process. A class of residual-signal-driven lattice predictors (PR) is defined that guarantees tracking for all signals without regard to the order of prediction. The LR predictor enhances speech and DTMF (dual-tone multifrequency) signal transmission performance in the presence of transmission errors. Under error-free transmission conditions, a segmental SNR (signal-to-noise ratio) drop for speech of nearly 2 dB may be encountered for the LR predictor relative to the classical signal-drive lattice predictor. In most practical telecommunication applications, however, this degradation is outweighed by the improved robustness of the predictor.> Paul Yatrou, Paul Mermelstein |
IEEE J. Sel. Areas Commun. | 1 |