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Mengkang Peng

dblp:81/2700 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1 · 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
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 › code-division multiple access
asynchronous CDMA
0.012001
Multiuser detection of asynchronous CDMA with frequency offset · IEEE Trans. Commun. 2001
Physical-layer communications › modulation › multicarrier modulation › OFDM
carrier frequency offset
0.012001
Multiuser detection of asynchronous CDMA with frequency offset · IEEE Trans. Commun. 2001
Physical-layer communications › synchronization › frequency synchronization
carrier frequency offset compensation
0.012001
Multiuser detection of asynchronous CDMA with frequency offset · IEEE Trans. Commun. 2001
Physical-layer communications
code-division multiple access
0.012001
Multiuser detection of asynchronous CDMA with frequency offset · IEEE Trans. Commun. 2001
Physical-layer communications › signal detection
multiuser detection
0.012001
Multiuser detection of asynchronous CDMA with frequency offset · IEEE Trans. Commun. 2001

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

taylor expansion · 0.0linear decorrelating detector · 0.0
YearPublicationVenuePosition
2001 Multiuser detection of asynchronous CDMA with frequency offset
abstract
This article presents a near-far resistant detection scheme for asynchronous code-division multiple access with frequency offset. Based on a one-shot technique and Taylor expansion, a zeroth-order and a first-order one-shot linear decorrelating detector (LDD) are proposed. The zeroth-order LDD has simple architecture but suffers performance degradation for large frequency offset. The first-order one-shot LDD, with increased complexity, has very good near-far resistant property even for large frequency offset. Two versions of the first-order one-shot LDD are investigated according to different Taylor expansion approaches. The feasibility of the proposed detectors is demonstrated by computer simulations.
Mengkang Peng, Y. Jay Guo, Stephen K. Barton
IEEE Trans. Commun.1
1996 An Investigation into the Improvement of Local Minima of the Hopfield Network
Mengkang Peng, Narendra Kumar Gupta, Alistair F. Armitage
Neural Networks1