Demo Data from EDBT 2026 / reviewers in the wild / expert
Chet Gnegy
dblp:138/3134
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
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 networks
1 paper |
Physical-layer communications · 46% Internet of things and sensor networks · 30% Wireless networking · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › spread spectrum
direct-sequence spread spectrum |
0.3 | 1 | 2018 | Ultrasonic Communication Using Consumer Hardware · IEEE Trans. Multim. 2018 |
Internet of things and sensor networks › underwater sensor networks › underwater communication › acoustic communication
near-ultrasonic communication |
0.3 | 1 | 2018 | Ultrasonic Communication Using Consumer Hardware · IEEE Trans. Multim. 2018 |
Physical-layer communications
spread spectrum |
0.3 | 1 | 2018 | Ultrasonic Communication Using Consumer Hardware · IEEE Trans. Multim. 2018 |
Wireless networking
wireless network protocols |
0.3 | 1 | 2018 | Ultrasonic Communication Using Consumer Hardware · IEEE Trans. Multim. 2018 |
Methods — techniques the papers use, named apart from their topics
pseudorandom code · 0.3orthogonal sine modulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Listening with Googlears: Low-Latency Neural Multiframe Beamforming and Equalization for Hearing Aids
Samuel J. Yang, Scott Wisdom, Chet Gnegy, Richard F. Lyon, Sagar Savla |
INTERSPEECH | 3 |
| 2018 | Ultrasonic Communication Using Consumer HardwareabstractWe have implemented a near-ultrasonic communication protocol in the 18.5-20 kHz band, which is inaudible to most humans, using commodity smartphone speakers and microphones to transmit and receive signals. The protocol described in this paper is a component of Google's Nearby platform, where near-ultrasound signals are used to establish copresence between nearby devices by transmitting a short token. High-frequency sound does not pass through walls (most energy is reflected), so identified devices are constrained to approximately the same room, “within earshot” of one another. Our protocol has a raw data rate of 94.5 b/s, and we find in real indoor environments that transmission between mobile devices is reliable at 2 m distance and often works at 10 m. We use direct-sequence spread spectrum modulation, which makes it highly robust to multipath, motion, and narrowband noise. We use a 127-chip pseudorandom code, repeating once per data symbol, and modulate its amplitude with orthogonal sine waveforms encoding 4-bit symbol values. We add the orthogonal sines to a constant “pedestal,” which is inefficient in an information-theoretic sense, but makes synchronization easier. We describe a robust and computationally efficient transmitter and receiver implementations and show experiments on real and simulated data. Pascal Getreuer, Chet Gnegy, Richard F. Lyon, Rif A. Saurous |
IEEE Trans. Multim. | 2 |