Demo Data from SIGIR 2026 / reviewers in the wild / expert
Joel G. Smith
dblp:36/788
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 1980
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 5 · 1 first-authorTheory of computation · 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
6 papers |
Physical-layer communications · 100% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 15 heaviest of 15, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › synchronization
carrier and timing synchronization |
0.0 | 3 | 1980 | Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980 Offset Quadrature Communications with Decision-Feedback Carrier Synchronization · IEEE Trans. Commun. 1974 Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974 |
Physical-layer communications
modulation and detection |
0.0 | 3 | 1974 | Offset Quadrature Communications with Decision-Feedback Carrier Synchronization · IEEE Trans. Commun. 1974 Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974 Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal Sets · IEEE Trans. Commun. 1973 |
Physical-layer communications › synchronization
timing recovery |
0.0 | 1 | 1980 | Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980 |
Physical-layer communications
modulation |
0.0 | 1 | 1975 | Odd-Bit Quadrature Amplitude-Shift Keying · IEEE Trans. Commun. 1975 |
Physical-layer communications › modulation
quadrature amplitude modulation |
0.0 | 1 | 1975 | Odd-Bit Quadrature Amplitude-Shift Keying · IEEE Trans. Commun. 1975 |
Physical-layer communications › equalization
decision feedback |
0.0 | 1 | 1974 | Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974 |
Physical-layer communications › synchronization › carrier recovery
decision-feedback carrier recovery |
0.0 | 1 | 1974 | Offset Quadrature Communications with Decision-Feedback Carrier Synchronization · IEEE Trans. Commun. 1974 |
Physical-layer communications › modulation
quadrature amplitude-shift keying |
0.0 | 1 | 1974 | Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974 |
Physical-layer communications › modulation › amplitude-phase modulation
amplitude phase shift keying |
0.0 | 1 | 1973 | Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal Sets · IEEE Trans. Commun. 1973 |
Physical-layer communications › modulation
constellation design |
0.0 | 1 | 1973 | Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal Sets · IEEE Trans. Commun. 1973 |
Physical-layer communications
channel coding |
0.0 | 1 | 1980 | Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980 |
Physical-layer communications › channel coding › error control coding
convolutional codes |
0.0 | 1 | 1980 | Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980 |
Information theory
channel capacity |
0.0 | 1 | 1971 | The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels · Inf. Control. 1971 |
Information theory › channel capacity
gaussian channel |
0.0 | 1 | 1971 | The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels · Inf. Control. 1971 |
Physical-layer communications
channel modeling |
0.0 | 1 | 1971 | The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels · Inf. Control. 1971 |
Methods — techniques the papers use, named apart from their topics
transition density analysis · 0.0sphere-packing analysis · 0.0phase-tracking loop analysis · 0.0gray coding · 0.0error probability analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded SystemsabstractInverting alternate symbols of the encoder output of a convolutionally coded system provides sufficient density of symbol transitions to guarantee adequate symbol synchronizer performance, a guarantee otherwise lacking. Although alternate symbol inversion may increase or decrease the average transition density, depending on the data source model, it produces a maximum number of contiguous symbols without transition for a particular class of convolutional codes, independent of the data source model. Further, this maximum is sufficiently small to guarantee acceptable symbol synchronizer performance for typical applications. Subsequent inversion of alternate detected symbols permits proper decoding. Marvin K. Simon, Joel G. Smith |
IEEE Trans. Commun. | 2 |
| 1975 | Odd-Bit Quadrature Amplitude-Shift KeyingabstractThe selection of a particular signal set design for a bandwidth-constrained multiple amplitude-and-phase-amplitude-and-phase-shift-keyed (MAPSK) communication system with a linear additive Gaussian noise channel is influenced by a number of factors, such as average and/or peak signal-to-noise ratio for a given error probability, dynamic range of signal amplitudes, simplicity of generation and detection, and number of bit errors per adjacent symbol error (Gray code properties). This paper compares two possible quadrature amplitudes-shift-keyed (QASK) signal sets when the number of bits per symbol is odd (for the even-bit case, the square array is the only viable QASK choice). The "symmetric" QASK version outperforms the "rectangular" QASK set at a very modest implmentation penalty. Joel G. Smith |
IEEE Trans. Commun. | 1 |
| 1974 | Carrier Synchronization and Detection of QASK Signal SetsabstractA carrier regeneration loop which generates highly coherent quadrature reference signals for quadrature amplitude-shift keying (QASK) demodulation is presented. The loop employs the principle of decision feedback and has a structure analogous to a decision feedback loop for quadriphase signals suggested earlier in the literature. The error probabihty performance of QASK is computed in the presence of the noisy carrier reference signals provided by the above loop. It is demonstrated that when the ratio of data rate to loop bandwidth is 50 or greater, then for all practical purposes, ideal QASK error probability performance is achieved. Marvin K. Simon, Joel G. Smith |
IEEE Trans. Commun. | 2 |
| 1974 | Offset Quadrature Communications with Decision-Feedback Carrier SynchronizationabstractIn this paper, we focus our attention on the decisionfeedback approach to carrier synchronization of offset quadrature phase-shift-keyed (QPSK) and more generally offset quadrature amplitude-shift-keyed (QASK) systems. In particular, we present two decision-feedback loops for tracking offset QPSK and offset QASK, which are modifications of comparable loops previously given in the literature for carrier synchronization of QPSK and QASK respectively. The performance gains obtained using such synchronization techniques are discussed. In particular, we show that the use of offset-quadrature communications rather than conventional quadrature communications permits a doubled loop bandwidth at fixed data rate, signal-to-noise ratio and probability of error. However, the more efficient phase-tracking loop (decision-feedback as opposed to phase-locked loop) used reduces substantially the total signal-to-noise ratio required. Marvin K. Simon, Joel G. Smith |
IEEE Trans. Commun. | 2 |
| 1973 | Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal SetsabstractSelection of a particular signal set array for a bandwidthConstrained multiple phase-and-amplitude-shift-keyed (MPASK) communication system for a linear additive Gaussian noise channel requires consideration of factors such as average and/or peak power versus symbol error probability, signal amplitude dynamic range, simplicity of generation and detection, and number of bit errors per symbol error (Gray code properties). A simple technique is presented for generating and optimally detecting the honeycomb (hexagonal.) signal set, i.e., the signal set that has the tightest sphere-packing properties. The symbol and bit error probability performance of this set is compared to other two-dimensional signal sets that have been investigated in the literature, and is shown to be slightly superior from an average power standpoint. The paper concludes with a comparison of all of these signal sets from the standpoint of the factors listed above. Marvin K. Simon, Joel G. Smith |
IEEE Trans. Commun. | 2 |
| 1971 | The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels
Joel G. Smith |
Inf. Control. | 1 |