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Chris J. Carlisle

dblp:35/3214 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1995
—ORCID · none

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

Computer networks · 3 · 3 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
3 papers
Physical-layer communications · 98% Wireless networking · 2%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
coded modulation
0.021995
The probability density of intersymbol interference for Trellis-coded modulation · IEEE Trans. Commun. 1995
Performance bounds for trellis-coded modulation on time-dispersive channels · IEEE Trans. Commun. 1994
Physical-layer communications › modulation › coded modulation
trellis-coded modulation
0.021995
The probability density of intersymbol interference for Trellis-coded modulation · IEEE Trans. Commun. 1995
Performance bounds for trellis-coded modulation on time-dispersive channels · IEEE Trans. Commun. 1994
Physical-layer communications › interference
intersymbol interference
0.011995
The probability density of intersymbol interference for Trellis-coded modulation · IEEE Trans. Commun. 1995
Physical-layer communications › error probability analysis
error probability bounds
0.011994
Performance bounds for trellis-coded modulation on time-dispersive channels · IEEE Trans. Commun. 1994
Physical-layer communications › fading channels
multipath fading channel
0.011991
Trellis-coded modulation on digital microwave radio systems-simulations for multipath fading channels · IEEE Trans. Commun. 1991
Physical-layer communications
signal processing for communications
0.011991
Trellis-coded modulation on digital microwave radio systems-simulations for multipath fading channels · IEEE Trans. Commun. 1991
Coding theory › error-correcting codes › coded modulation
trellis-coded modulation
0.011991
Trellis-coded modulation on digital microwave radio systems-simulations for multipath fading channels · IEEE Trans. Commun. 1991
Physical-layer communications
channel modeling
0.021995
The probability density of intersymbol interference for Trellis-coded modulation · IEEE Trans. Commun. 1995
Performance bounds for trellis-coded modulation on time-dispersive channels · IEEE Trans. Commun. 1994
Physical-layer communications › channel modeling
time-dispersive channel
0.011994
Performance bounds for trellis-coded modulation on time-dispersive channels · IEEE Trans. Commun. 1994
Wireless networking › wireless transmission › microwave communication
digital microwave radio
0.011991
Trellis-coded modulation on digital microwave radio systems-simulations for multipath fading channels · IEEE Trans. Commun. 1991

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

union bound · 0.0simulation · 0.0adaptive equalization · 0.0probability density function computation · 0.0viterbi decoder analysis · 0.0pairwise error probability · 0.0
YearPublicationVenuePosition
1995 The probability density of intersymbol interference for Trellis-coded modulation
abstract
Knowledge of the probability density function (pdf) of intersymbol interference (ISI) can be used in the computation of system error probabilities and to help identify the cause of the errors. Exact computation of the probability density is only practicable in a few special cases. Several algorithms exist for computing approximate pdfs of ISI but these only work with certain signal constellations and transmitted symbols that are mutually independent or coded by partial response. This paper considers an algorithm for the computation of ISI pdfs for trellis-coded modulation with general 1D and 2D constellations. The results suggest that symbol dependencies introduced into the transmitted signal by symmetric trellis-codes have negligible effect on the pdf of the ISI. Although the ideas presented are general in nature, examples are given for ISI pdfs on a line-of-sight radio channel.>
Chris J. Carlisle, Desmond P. Taylor, William K. Kennedy, Mansoor Shafi
IEEE Trans. Commun.1
1994 Performance bounds for trellis-coded modulation on time-dispersive channels
abstract
The performance of trellis-coded modulation (TCM) on additive white Gaussian noise channels is well understood, and tight analytical bounds exist on the probability of the Viterbi decoder making a decision error. When a channel is also time-dispersive, the performance of TCM systems has been studied mainly by simulation. However, simulation is limited to symbol error probabilities greater than 10/sup -6/ and is not a particularly useful tool for designing codes. Tight analytical bounds on the error probability of TCM on time-dispersive channels are required for a more thorough study of performance. Moreover, the design of good codes and optimum metrics for time-dispersive channels requires tight analytical bounds. In this paper we derive analytical upper bounds, which, although requiring numerical techniques for tractable evaluation, are tight for a wide range of time-dispersive channel conditions. The bounds are based on a union bound of error events that leads to a summation of pairwise error probabilities, which are themselves upper bounded.>
Chris J. Carlisle, Desmond P. Taylor, Mansoor Shafi, William K. Kennedy
IEEE Trans. Commun.1
1991 Trellis-coded modulation on digital microwave radio systems-simulations for multipath fading channels
abstract
The application of trellis-coded modulation to reducing the effects of residual interference levels encountered on multipath fading channels after adaptive equalization in high capacity digital microwave radio systems is investigated. Simulations used to derive error performance curves and outage probabilities are discussed. The results indicate that trellis-coded modulation offers performance improvements in addition to those offered by adaptive equalization.>
Chris J. Carlisle, Mansoor Shafi, William K. Kennedy
IEEE Trans. Commun.1