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John M. Geist

dblp:120/6616 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation › amplitude modulation
on-off keying
0.021994
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
0.011994
Asymptotic error rate behavior for noncoherent on-off keying · IEEE Trans. Commun. 1994
Physical-layer communications
modulation
0.021991
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
0.011991
The cutoff rate for on-off keying · IEEE Trans. Commun. 1991
Physical-layer communications › signal detection
noncoherent detection
0.011994
Asymptotic error rate behavior for noncoherent on-off keying · IEEE Trans. Commun. 1994
Information theory
channel capacity
0.021991
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
0.021979
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
0.011981
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
0.011981
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
0.011981
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
0.011980
Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980
Physical-layer communications › channel coding › error control coding
convolutional codes
0.011980
Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980
Physical-layer communications › channel coding › error control coding
interleaving
0.011980
Viterbi Decoder Performance in Gaussian Noise and Periodic Erasure Bursts · IEEE Trans. Commun. 1980
Physical-layer communications › channel coding › convolutional decoding
viterbi decoding
0.011980
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
0.011979
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
0.011979
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
0.011976
Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976
Physical-layer communications › modulation
phase-shift keying
0.011976
Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals · IEEE Trans. Commun. 1976
Coding theory › constrained coding
line codes
0.011975
Surprising Properties of Two-Level "Bandwidth Compaction" Codes · IEEE Trans. Commun. 1975
Coding theory › constrained coding
runlength-limited codes
0.011975
Surprising Properties of Two-Level "Bandwidth Compaction" Codes · IEEE Trans. Commun. 1975
Coding theory › error-correcting codes › decoding
sequential decoding
0.011973
Search properties of some sequential decoding algorithms · IEEE Trans. Inf. Theory 1973
Coding theory › error-correcting codes › decoding › sequential decoding
stack decoding
0.011973
Search properties of some sequential decoding algorithms · IEEE Trans. Inf. Theory 1973
Physical-layer communications › signal analysis › noise analysis › noise modeling
gaussian noise
0.011980
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
0.011976
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
YearPublicationVenuePosition
1994 Asymptotic error rate behavior for noncoherent on-off keying
abstract
This 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 keying
abstract
It 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 Bursts
abstract
In 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.)
abstract
The 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. Theory3
1976 Power Spectra of Sinusoidal Amplitude-Modulated Binary Signals
abstract
Power 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" Codes
abstract
This 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 algorithms
abstract
Sequential 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. Theory1