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Joel G. Smith

dblp:36/788 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Physical-layer communications › synchronization
carrier and timing synchronization
0.031980
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
0.031974
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
0.011980
Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980
Physical-layer communications
modulation
0.011975
Odd-Bit Quadrature Amplitude-Shift Keying · IEEE Trans. Commun. 1975
Physical-layer communications › modulation
quadrature amplitude modulation
0.011975
Odd-Bit Quadrature Amplitude-Shift Keying · IEEE Trans. Commun. 1975
Physical-layer communications › equalization
decision feedback
0.011974
Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974
Physical-layer communications › synchronization › carrier recovery
decision-feedback carrier recovery
0.011974
Offset Quadrature Communications with Decision-Feedback Carrier Synchronization · IEEE Trans. Commun. 1974
Physical-layer communications › modulation
quadrature amplitude-shift keying
0.011974
Carrier Synchronization and Detection of QASK Signal Sets · IEEE Trans. Commun. 1974
Physical-layer communications › modulation › amplitude-phase modulation
amplitude phase shift keying
0.011973
Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal Sets · IEEE Trans. Commun. 1973
Physical-layer communications › modulation
constellation design
0.011973
Hexagonal Multiple Phase-and-Amplitude-Shift-Keyed Signal Sets · IEEE Trans. Commun. 1973
Physical-layer communications
channel coding
0.011980
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
0.011980
Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems · IEEE Trans. Commun. 1980
Information theory
channel capacity
0.011971
The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels · Inf. Control. 1971
Information theory › channel capacity
gaussian channel
0.011971
The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels · Inf. Control. 1971
Physical-layer communications
channel modeling
0.011971
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
YearPublicationVenuePosition
1980 Alternate Symbol Inversion for Improved Symbol Synchronization in Convolutionally Coded Systems
abstract
Inverting 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 Keying
abstract
The 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 Sets
abstract
A 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 Synchronization
abstract
In 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 Sets
abstract
Selection 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