Shaw Wei Kok

dblp:79/5804 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2009
0000-0001-9477-8988ORCID · corroborated

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

Computer networks · 2 · 2 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
2 papers
Optical networks · 50% Physical-layer communications · 50%
Theoretical computer science
2 papers
Coding theory · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks
optical code-division multiple access
0.222009
An optimal chip-level OCDMA detector by using photon counting · IEEE Trans. Commun. 2009
Monotonicity of Likelihood Ratio of MAP Correlation Detection for OCDMA Communication · IEEE Trans. Commun. 2007
Coding theory › error-correcting codes
error probability analysis
0.222009
An optimal chip-level OCDMA detector by using photon counting · IEEE Trans. Commun. 2009
Monotonicity of Likelihood Ratio of MAP Correlation Detection for OCDMA Communication · IEEE Trans. Commun. 2007
Physical-layer communications › optical communication
photon counting
0.112009
An optimal chip-level OCDMA detector by using photon counting · IEEE Trans. Commun. 2009
Coding theory › error-correcting codes › error probability analysis
bit-error probability
0.112009
An optimal chip-level OCDMA detector by using photon counting · IEEE Trans. Commun. 2009
Physical-layer communications › signal detection
correlation detection
0.112007
Monotonicity of Likelihood Ratio of MAP Correlation Detection for OCDMA Communication · IEEE Trans. Commun. 2007
Coding theory › error-correcting codes › error probability analysis
bit error probability bounds
0.112007
Monotonicity of Likelihood Ratio of MAP Correlation Detection for OCDMA Communication · IEEE Trans. Commun. 2007

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

likelihood ratio monotonicity · 0.3numerical study · 0.2maximum a posteriori criterion · 0.2
YearPublicationVenuePosition
2009 An optimal chip-level OCDMA detector by using photon counting
abstract
This paper studies the optimal bit error rate (BER) performance of chip-level detection for optical code division multiple-access (OCDMA) systems in the presence of shot noise. To attain the optimal BER of chip-level detection, a chip-level detector that uses a limiter on the photon counts at each weighted chip is first proposed. Then, the monotonicity of the likelihood ratio used in the maximum a posteriori (MAP) probability criterion is established. With this monotonicity, a sufficient condition characterized by the cap levels of the limiters and the average photon counts per pulse is obtained, under which the detector is simply an AND detector to attain the optimal BER of chip-level detection. The detector' performance and its comparison to those of other detectors are also studied by numerical studies.
Shaw Wei Kok, Ying Zhang 0031, Yeng Chai Soh
IEEE Trans. Commun.1
2007 Monotonicity of Likelihood Ratio of MAP Correlation Detection for OCDMA Communication
abstract
In this paper, the monotonicity of the likelihood ratio used in the optimal correlation detection is established for optical code division multiple-access (OCDMA). The monotonicity property not only guarantees the optimality of the detection, it also enables us to calculate the bit-error-rate bounds for OCDMA in the presence of uncertain a priori probabilities.
Shaw Wei Kok, Ying Zhang 0031, Changyun Wen, Yeng Chai Soh
IEEE Trans. Commun.1