VLDB 2026 Research / reviewers in the wild / expert
Al-Nasir Premji
dblp:119/4632
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 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
3 papers |
Physical-layer communications · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
modulation and signal design |
0.0 | 2 | 1987 | A Practical Receiver Structure for Multi-h CPM Signals · IEEE Trans. Commun. 1987 Receiver Structures for Multi-h Signaling Formats · IEEE Trans. Commun. 1987 |
Physical-layer communications › modulation › continuous phase modulation
multi-h CPM |
0.0 | 1 | 1987 | A Practical Receiver Structure for Multi-h CPM Signals · IEEE Trans. Commun. 1987 |
Physical-layer communications
receiver design |
0.0 | 1 | 1987 | Receiver Structures for Multi-h Signaling Formats · IEEE Trans. Commun. 1987 |
Physical-layer communications › receiver design
reduced-complexity receiver |
0.0 | 1 | 1987 | A Practical Receiver Structure for Multi-h CPM Signals · IEEE Trans. Commun. 1987 |
Physical-layer communications
channel coding and estimation |
0.0 | 2 | 1987 | A Practical Receiver Structure for Multi-h CPM Signals · IEEE Trans. Commun. 1987 Receiver Structures for Multi-h Signaling Formats · IEEE Trans. Commun. 1987 |
Physical-layer communications › channel estimation
maximum likelihood estimation |
0.0 | 1 | 1987 | Receiver Structures for Multi-h Signaling Formats · IEEE Trans. Commun. 1987 |
Methods — techniques the papers use, named apart from their topics
gridded receiver design · 0.0eye diagram analysis · 0.0monte carlo simulation · 0.0correlator bank · 0.0approximate likelihood function · 0.0ML estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | A new signal quality degradation monitor for digital transmission channelsabstractAn innovative approach to the automatic monitoring of signal quality on digital transmission channels such as communication links is presented. A communication channel is said to be experiencing some form of stress when the channel (and hence the signal) is distorted from nominal conditions. The stress may be the result of a variety of sources such as transmitter and receiver equipment errors, ionospheric effects, tropospheric effects, and jamming. A new monitor, the DEGRAD (Digital Eye Gridded Receiver with Arbitrary Degradation) monitor, is developed that is better able to detect and identify channel degradations before a significant change in signal quality is noticed by the end user. > Tim J. Nohara, Al-Nasir Premji, William R. Seed |
IEEE Trans. Commun. | 2 |
| 1987 | Receiver Structures for Multi-h Signaling FormatsabstractA method of utilizing the available communication bandwidth efficiently is provided by multi-hphase coding. A receiver structure for joint estimation of data, carrier phase, and symbol timing is derived based on ML estimation techniques and subsequently assessed analytically and by means of Monte Carlo simulation procedures. Results indicate that the receiver structure, although not strictly optimum, yields near-optimum performance on the additive white Gaussian noise channel. Al-Nasir Premji, Desmond P. Taylor |
IEEE Trans. Commun. | 1 |
| 1987 | A Practical Receiver Structure for Multi-h CPM SignalsabstractMulti-hschemes are bandwidth-efficient CPM signaling formats which offer means of coding without explicit redundancy. However, the required (optimal) receiver structures tend to be very complex [1], [4], [8] requiring a large number of filters of correlators. Here a reduced complexity receiver for the joint estimation ofM-ary data, carrier phase, and symbol timing is realized through the use of an approximate representation of the likelihood function. Evaluation of receiver performance indicates a fraction of a decibel degradation in coding gain and almost no loss in synchronization performance. Al-Nasir Premji, Desmond P. Taylor |
IEEE Trans. Commun. | 1 |