VLDB 2026 Research / reviewers in the wild / expert
Namit Arora
dblp:313/3216
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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.
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% | |
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › predictive coding
adaptive prediction |
0.0 | 1 | 1994 | DPCM encoding of regenerative composite processes · IEEE Trans. Inf. Theory 1994 |
Image and video coding › predictive coding
differential pulse code modulation |
0.0 | 1 | 1994 | DPCM encoding of regenerative composite processes · IEEE Trans. Inf. Theory 1994 |
Coding theory
source coding |
0.0 | 1 | 1994 | DPCM encoding of regenerative composite processes · IEEE Trans. Inf. Theory 1994 |
Methods — techniques the papers use, named apart from their topics
quantizer optimization · 0.0MAP sequence estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | DPCM encoding of regenerative composite processesabstractFixed (nonadaptive) and forward adaptive differential pulse code modulation of regenerative composite sources is investigated. In the fixed code, an approximate formula is given for the optimal value of the prediction coefficient. This is then used as an initial guess to optimize the code (predictor and quantizer) through a numerical method. In the forward adaptive scheme, the state of the switch in the composite source is estimated using a MAP sequence estimation algorithm, and the code is then matched to the mode process corresponding to the estimated switch state. The performance of the two systems is evaluated with quantizers of 4, 8, and 16 levels. The results show that the forward adaptive scheme significantly outperforms optimized fixed DPCM in the sense of mean-squared error. Stochastic stability of the code is also established for the fixed DPCM scheme as well as for an adaptive scheme which receives the switch state as side information.> Mort Naraghi-Pour, Manju V. Hegde, Namit Arora |
IEEE Trans. Inf. Theory | 3 |