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C. R. Moore

dblp:273/1742 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1973
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

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
1 paper
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › synchronization
carrier synchronization
0.011973
Simulation of Sequential Decoding with Phase-Locked Demodulation · IEEE Trans. Commun. 1973
Physical-layer communications
channel coding
0.011973
Simulation of Sequential Decoding with Phase-Locked Demodulation · IEEE Trans. Commun. 1973
Physical-layer communications › synchronization › phase-locked loop
costas loop tracking
0.011973
Simulation of Sequential Decoding with Phase-Locked Demodulation · IEEE Trans. Commun. 1973
Physical-layer communications › channel coding › convolutional decoding
sequential decoding
0.011973
Simulation of Sequential Decoding with Phase-Locked Demodulation · IEEE Trans. Commun. 1973
Physical-layer communications › modulation
demodulation
0.011973
Simulation of Sequential Decoding with Phase-Locked Demodulation · IEEE Trans. Commun. 1973

Methods — techniques the papers use, named apart from their topics

pareto fit · 0.0computer simulation · 0.0
YearPublicationVenuePosition
1973 Simulation of Sequential Decoding with Phase-Locked Demodulation
abstract
Convolutional encoding with biphase modulation is an attractive combination of modulation/coding for the Gaussian channel, but a means of tracking carrier phase must be provided. The performance of combined sequential decoding and suppressed carrier (Costas loop) tracking in the receiver is difficult to analyze but can be obtained by computer simulations. Results of such simulations are presented in the form of a Pareto fit to the computation distributions for various tracking loop bandwidths and demodulator quantization (soft decisions). These distributions are applied to predict probability of error performance for typical decoder parameters (buffer size, speed factor). The anticipated advantage of quantized demodulation is observed. However, narrow tracking bandwidths are required, with sufficient interleaving to overcome effects of correlated phase perturbations due to noise.
Charles R. Cahn, Gaylord K. Huth, C. R. Moore
IEEE Trans. Commun.3