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Shun-Te Tseng

dblp:55/8707 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none

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
Physical-layer communications · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › spread spectrum
multicarrier CDMA
0.122009
Windowing for multicarrier CDMA systems · IEEE Trans. Commun. 2009
LMSE-based parameter acquisition for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications
channel estimation
0.112009
LMSE-based parameter acquisition for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications › modulation
multicarrier modulation
0.112009
Windowing for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications
synchronization
0.112009
LMSE-based parameter acquisition for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications › digital signal processing
windowing
0.112009
Windowing for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications › receiver design › linear receivers
MMSE receiver
0.012009
Windowing for multicarrier CDMA systems · IEEE Trans. Commun. 2009
Physical-layer communications
signal detection
0.012009
Windowing for multicarrier CDMA systems · IEEE Trans. Commun. 2009

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

mean-squared error optimization · 0.1linear interpolation · 0.1least mean-squared error · 0.1frequency-domain oversampling · 0.1MMSE detection · 0.1
YearPublicationVenuePosition
2009 LMSE-based parameter acquisition for multicarrier CDMA systems
abstract
An acquisition scheme, based on the least mean-squared error (LMSE), for the symbol timing, carrier phases, and multipath gains for multicarrier code-division multiple-access (MC-CDMA) systems is proposed. A new coefficient called the quasi-mean-squared accuracy coefficient (QMSAC) is introduced. This allows the search for multiple optimal parameters to be split into simpler single-parameter estimates. The symbol timing is acquired with a comparison of the QMSACs followed by a linear interpolation scheme or a search of a minimizing variable. Carrier phases and multipath gain coefficients are then estimated via some algebraic computations based only on the estimated symbol timing and the QMSACs. The spreading sequence of the desired user is the only prior knowledge required for the proposed approach. Simulation results demonstrate the near-far resistance of the approach and show that the error performance of minimum mean-squared error (MMSE) detection with acquired parameters is only a few decibels worse for the considered channel than the performance obtained with perfect knowledge about the channel impulse response.
Shun-Te Tseng, James S. Lehnert
IEEE Trans. Commun.1
2009 Windowing for multicarrier CDMA systems
abstract
The windows for achieving good multiple-access performance of multicarrier code-division multiple-access (MCCDMA) systems employing minimum mean-squared error receivers are studied. The mean-squared error (MSE) is used as the performance metric for the optimization. In a simplified two-user system, the rectangular window is found to be optimum while regarded as an inferior window in orthogonal frequency-division multiplexing systems because of its spectral inefficiency. Necessary conditions are given for improving the performances of spectrally efficient windows by exploiting the cyclic prefix and oversampling in the frequency domain.
Shun-Te Tseng, James S. Lehnert
IEEE Trans. Commun.1