Demo Data from EDBT 2026 / reviewers in the wild / expert
John M. Geist
dblp:120/6616
· DBLP profile ↗
9ranked-venue papers
5as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 7 · 4 first-authorTheory of computation · 2 · 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
5 papers |
Physical-layer communications · 100% | |
| Theoretical computer science
4 papers |
Coding theory · 86% Information theory · 14% |
Topics — the 24 heaviest of 24, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › modulation › amplitude modulation
on-off keying |
0.0 | 2 | 1994 | Asymptotic error rate behavior for noncoherent on-off keying · IEEE Trans. Commun. 1994 The cutoff rate for on-off keying · IEEE Trans. Commun. 1991 |
Physical-layer communications
error probability analysis |
0.0 | 1 | 1994 | Asymptotic error rate behavior for noncoherent on-off keying · IEEE Trans. Commun. 1994 |
Physical-layer communications
modulation |
0.0 | 2 | 1991 | The cutoff rate for on-off keying · IEEE Trans. Commun. 1991 Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976 |
Coding theory › channel coding › error exponent
cutoff rate |
0.0 | 1 | 1991 | The cutoff rate for on-off keying · IEEE Trans. Commun. 1991 |
Physical-layer communications › signal detection
noncoherent detection |
0.0 | 1 | 1994 | Asymptotic error rate behavior for noncoherent on-off keying · IEEE Trans. Commun. 1994 |
Information theory
channel capacity |
0.0 | 2 | 1991 | The cutoff rate for on-off keying · IEEE Trans. Commun. 1991 Surprising Properties of Two-Level "Bandwidth Compaction" Codes · IEEE Trans. Commun. 1975 |
Coding theory › error-correcting codes
convolutional codes |
0.0 | 2 | 1979 | Punctured convolutional codes of rate (n-1)/n and simplified maximum likelihood decoding (Corresp.) · IEEE Trans. Inf. Theory 1979 Search properties of some sequential decoding algorithms · IEEE Trans. Inf. Theory 1973 |
Physical-layer communications › spread spectrum
direct-sequence spread spectrum |
0.0 | 1 | 1981 | Comments on "Optimization of the Processing Gain of an M-ary Direct Sequence Spread Spectrum Communication System" · IEEE Trans. Commun. 1981 |
Physical-layer communications › spread spectrum
processing gain optimization |
0.0 | 1 | 1981 | Comments on "Optimization of the Processing Gain of an M-ary Direct Sequence Spread Spectrum Communication System" · IEEE Trans. Commun. 1981 |
Physical-layer communications
spread spectrum |
0.0 | 1 | 1981 | Comments on "Optimization of the Processing Gain of an M-ary Direct Sequence Spread Spectrum Communication System" · IEEE Trans. Commun. 1981 |
Physical-layer communications
channel coding |
0.0 | 1 | 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980 |
Physical-layer communications › channel coding › error control coding
convolutional codes |
0.0 | 1 | 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980 |
Physical-layer communications › channel coding › error control coding
interleaving |
0.0 | 1 | 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980 |
Physical-layer communications › channel coding › convolutional decoding
viterbi decoding |
0.0 | 1 | 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980 |
Coding theory › error-correcting codes › decoding › decoding algorithms › optimal decoding
maximum-likelihood decoding |
0.0 | 1 | 1979 | Punctured convolutional codes of rate (n-1)/n and simplified maximum likelihood decoding (Corresp.) · IEEE Trans. Inf. Theory 1979 |
Coding theory › error-correcting codes › convolutional codes
punctured convolutional codes |
0.0 | 1 | 1979 | Punctured convolutional codes of rate (n-1)/n and simplified maximum likelihood decoding (Corresp.) · IEEE Trans. Inf. Theory 1979 |
Physical-layer communications › modulation
frequency-shift keying |
0.0 | 1 | 1976 | Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976 |
Physical-layer communications › modulation
phase-shift keying |
0.0 | 1 | 1976 | Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976 |
Coding theory › constrained coding
line codes |
0.0 | 1 | 1975 | Surprising Properties of Two-Level "Bandwidth Compaction" Codes · IEEE Trans. Commun. 1975 |
Coding theory › constrained coding
runlength-limited codes |
0.0 | 1 | 1975 | Surprising Properties of Two-Level "Bandwidth Compaction" Codes · IEEE Trans. Commun. 1975 |
Coding theory › error-correcting codes › decoding
sequential decoding |
0.0 | 1 | 1973 | Search properties of some sequential decoding algorithms · IEEE Trans. Inf. Theory 1973 |
Coding theory › error-correcting codes › decoding › sequential decoding
stack decoding |
0.0 | 1 | 1973 | Search properties of some sequential decoding algorithms · IEEE Trans. Inf. Theory 1973 |
Physical-layer communications › signal analysis › noise analysis › noise modeling
gaussian noise |
0.0 | 1 | 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980 |
Physical-layer communications › signal processing for communications › statistical signal processing
power spectral density |
0.0 | 1 | 1976 | Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976 |
Methods — techniques the papers use, named apart from their topics
signal-to-noise ratio analysis · 0.0maximum likelihood detection · 0.0asymptotic analysis · 0.0simulation · 0.0maximum-likelihood decoding · 0.0spectral analysis · 0.0performance evaluation · 0.0code design · 0.0PAM comparison · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Asymptotic error rate behavior for noncoherent on-off keyingabstractThis article corrects a minor error in a venerable contribution by Stein (1966) to the statistical theory of communication. The author shows that at high SNR, with optimum decision threshold, mark and space errors contribute equally to the average error probability.> John M. Geist |
IEEE Trans. Commun. | 1 |
| 1991 | The cutoff rate for on-off keyingabstractIt is well known that on-off keying (OOK), i.e. the transmission of a pulse for a data one (mark) and transmission of no signal for a data zero (space), exhibits a 3 dB inferiority to antipodal signalling, in terms of the signal-to-noise ratio required to achieve a specified bit error probability. When the channel is characterized by the cutoff rate R/sub 0/, this 3 dB inferiority persists, in the sense that the required E/sub b//N/sub 0/ to operate at a given value of R/sub 0/ is 3 dB greater for the OOK channel than for the antipodal channel. However, it is shown that, if the definition of cutoff rate is generalized in an appropriate way to reflect the fact that signal energy is expended only in the transmission of marks, part of this penalty is recovered. In fact, it is shown that, in the limit of low R/sub 0/, there is no penalty in signal-to-noise ratio. Even at rates of realistic interest, the penalty is significantly less than the expected 3 dB.> John M. Geist |
IEEE Trans. Commun. | 1 |
| 1981 | Comments on "Optimization of the Processing Gain of an M-ary Direct Sequence Spread Spectrum Communication System"
John M. Geist, M. G. Pelchat, R. E. Totty |
IEEE Trans. Commun. | 1 |
| 1980 | Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure BurstsabstractIn this paper, we evaluate the performance of noninterleaved convolutional codes in the presence of Gaussian noise and periodic erasure bursts, with maximum likelihood (Viterbi) decoding. The results show that even for burst lengths that are a significant fraction of the code constraint length, the performance degradation is surprisingly small. It is then shown that in many of these cases the use of interleaving would provide very little performance gain. In addition, for burst lengths that are so long that interleaving is unavoidable, these results demonstrate the robustness of fixed periodic interleavers against variability in the parameters of the burst process. John M. Geist, J. Bibb Cain |
IEEE Trans. Commun. | 1 |
| 1979 | Punctured convolutional codes of rate (n-1)/n and simplified maximum likelihood decoding (Corresp.)abstractThe structure of punctured convolutional cedes is described, and it is indicated how their use simplifies the design of maximum likelihood decoders. The best codes of this class for rates 2/3 and 3/4 are tabulated and performance curves are given for these codes. J. Bibb Cain, George C. Clark Jr., John M. Geist |
IEEE Trans. Inf. Theory | 3 |
| 1976 | Power Spectra of Sinusoidal Amplitude-Modulated Binary SignalsabstractPower spectra for binary phase-shift keyed (PSK) and frequency-shift keyed (FSK) signals with combined sinusoidal amplitude modulation by the bit rate clock are presented. Such signal formats have application in "burst" communication systems wherein reliable bit synchronization is provided with relative receiver simplicity. Effects of the clock amplitude modulation index and phase are considered, and corresponding power spectra are illustrated. Further, effects of the clock parameters on the rate of spectral rolloff are given and compared with those of conventional PSK and FSK spectra. Thomas H. Gee, John M. Geist |
IEEE Trans. Commun. | 2 |
| 1976 | Correction to "Surprising Properties of Two-Level ́Bandwidth Compactioń Codes"
M. G. Pelchat, John M. Geist |
IEEE Trans. Commun. | 2 |
| 1975 | Surprising Properties of Two-Level "Bandwidth Compaction" CodesabstractThis paper investigates some of the properties of a class of two-level codes with constrained run length, whose use has been proposed for purposes of bandwidth compression. It is shown that such codes can indeed reduce the bandwidth containing a given percentage of the transmitted power. To communicate information, however, different transmitted codewords must be distinguishable at the receiver, and this requires that the channel bandwidth be sufficiently wide to allow the difference waveform to propagate. It is demonstrated that decreasing theX-percent bandwidth using these codes leads to a rapid increase in the difference waveform bandwidth, and hence in the channel bandwidth necessary to maintain error rate performance. Thus, these codes are bandwidth expansion codes in disguise. Signal-to-noise ratio and channel bandwidth requirements for these codes are discussed and compared with those ofM-level codes [pulse-amplitude modulation (PAM)] for two kinds of receivers. M. G. Pelchat, John M. Geist |
IEEE Trans. Commun. | 2 |
| 1973 | Search properties of some sequential decoding algorithmsabstractSequential decoding procedures are studied in the context of selecting a path through a tree. Several algorithms are considered and their properties compared. It is shown that the stack algorithm introduced by Zigangirov and by Jelinek is essentially equivalent to the Fano algorithm with regard to the set of nodes examined and the path selected, although the description, implementation, and action of the two algorithms are quite different. A modified Fano algorithm is introduced, in which the quantizing parameter\Deltais eliminated. It can be inferred from limited simulation results that, at least in some applications, the new algorithm is computationally inferior to the old; however, it is of some theoretical interest since the conventional Fano algorithm may be considered to be a quantized version of it. John M. Geist |
IEEE Trans. Inf. Theory | 1 |