Demo Data from EDBT 2026 / reviewers in the wild / expert
Jing-Kine Wang
dblp:60/11153
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Physical-layer communications · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › spread spectrum
frequency hopping |
0.0 | 1 | 1997 | Spectral-estimation-based acquisition for frequency-hopping spread-spectrum communications in a nonfading or Rayleigh-fading channel · IEEE Trans. Commun. 1997 |
Physical-layer communications › signal processing for communications › spectral analysis
spectral estimation |
0.0 | 1 | 1997 | Spectral-estimation-based acquisition for frequency-hopping spread-spectrum communications in a nonfading or Rayleigh-fading channel · IEEE Trans. Commun. 1997 |
Physical-layer communications
spread spectrum |
0.0 | 1 | 1997 | Spectral-estimation-based acquisition for frequency-hopping spread-spectrum communications in a nonfading or Rayleigh-fading channel · IEEE Trans. Commun. 1997 |
Methods — techniques the papers use, named apart from their topics
probability analysis · 0.0linear feedback shift register · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Spectral-estimation-based acquisition for frequency-hopping spread-spectrum communications in a nonfading or Rayleigh-fading channelabstractAcquisition of frequency-hopping spread-spectrum (FH/SS) signals based on autoregressive spectral estimation is addressed for nonfading and Rayleigh-fading channels. The hopped frequency is synthesized using a linear feedback shift register (LFSR). The most significant bit (MSB) of the frequency estimate is loaded into the LFSR. A new acquisition logic is devised for the acquisition scheme that employs the autoregressive spectral-estimation acquisition technique (ASEAT). To characterize the statistical distributions of the frequency estimation error, the truncated Gaussian and uniform distributions are considered. The probability of the MSB error and the mean acquisition time of the acquisition logic are derived. For the ASEAT with the acquisition logic, the acquisition scheme that uses multiple antennas is also addressed. Numerical results for the probability of the MSB error and the corresponding mean acquisition time are illustrated for the performance evaluation of both cases. Y. A. Chau, Jing-Kine Wang |
IEEE Trans. Commun. | 2 |