Demo Data from EDBT 2026 / reviewers in the wild / expert
M. E. M. Nasr
dblp:203/6257
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1984
—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 |
Image and video coding · 67% Audio and music processing · 33% |
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 › quantization
adaptive quantization |
0.0 | 1 | 1984 | Hybrid Adaptive Quantization for Speech Coding · IEEE Trans. Commun. 1984 |
Image and video coding › predictive coding
differential pulse code modulation |
0.0 | 1 | 1984 | Hybrid Adaptive Quantization for Speech Coding · IEEE Trans. Commun. 1984 |
Audio and music processing
speech coding |
0.0 | 1 | 1984 | Hybrid Adaptive Quantization for Speech Coding · IEEE Trans. Commun. 1984 |
Methods — techniques the papers use, named apart from their topics
syllabic adaptation · 0.0jayant's adaptive quantizer · 0.0instantaneous adaptation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Hybrid Adaptive Quantization for Speech CodingabstractThis correspondence describes a new quantization technique called hybrid adaptive quantization (HAQ) that uses instantaneous [1], [2] as well as syllabic [3] adaptation of the step size. Two types of instantaneous adaptive algorithms have been used-Jayant's adaptive quantizer (JAQ) and the incremental adaptive quantizer (IAQ). Computer simulations have been performed for a sine-wave, correlated Gaussian signal and digitized speech. Signal-to-noise ratio (SNR) computation for PCM and DPCM coders indicates that the hybrid technique is superior to the normal adaptive quantizer, when both have the same ratio of maximum to minimum step size. M. E. M. Nasr, C. V. Chakravarthy |
IEEE Trans. Commun. | 1 |