Demo Data from VLDB 2026 / reviewers in the wild / expert
S. H. R. Raghavan
dblp:272/2101
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1977
—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 networks
1 paper |
Physical-layer communications · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
equalization |
0.0 | 1 | 1977 | Imrpoving QPSK Transmission in Band-Limited Channels with Interchannel Interference Through Equalization · IEEE Trans. Commun. 1977 |
Physical-layer communications › equalization
linear equalization |
0.0 | 1 | 1977 | Imrpoving QPSK Transmission in Band-Limited Channels with Interchannel Interference Through Equalization · IEEE Trans. Commun. 1977 |
Physical-layer communications › signal detection
sequence estimation |
0.0 | 1 | 1977 | Imrpoving QPSK Transmission in Band-Limited Channels with Interchannel Interference Through Equalization · IEEE Trans. Commun. 1977 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0performance bounds · 0.0gauss quadrature rule · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1977 | Imrpoving QPSK Transmission in Band-Limited Channels with Interchannel Interference Through EqualizationabstractThis paper describes the use of equalization in conjunction with channel filtering to improve QPSK transmission subject to both intersymbol interference (ISI) and interchannel interference (ICI). Performance bounds are computed using the nonclassical Gaussquadrature rule (GQR) method. The signal-to-noise ratio (SNR) gain due to linear equalization over nonequalization is thereby obtained and presented. The performance of a linear equalizer thus obtained is compared with the Viterbi algorithm sequence estimator (VASE). In the absence of bounds for the VASE receiver under the channel conditions considered, simulation results are used to make the comparison. With a possible difference in the accuracies of the performance thus obtained it is shown that the VASE provides improved performance over the linear equalizer under the channel conditions considered. S. H. R. Raghavan, Rodger E. Ziemer |
IEEE Trans. Commun. | 1 |