Sen-Hung Wang
National Sun Yat-sen University
31 Papers
303 Citations
Sen-Hung Wang is an academic researcher from National Sun Yat-sen University. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Reduction (complexity). The author has an hindex of 14, co-authored 31 publications. Previous affiliations of Sen-Hung Wang include Intel & National Taiwan University.
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Papers
A Low-Complexity PAPR Reduction Scheme for SFBC MIMO-OFDM Systems
Sen-Hung Wang,Chih-Peng Li +1 more
TL;DR: The proposed scheme exploits the time-domain signal properties of SFBC MIMO-OFDM systems to achieve a low-complexity architecture for candidate signal generation.
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Novel Low-Complexity SLM Schemes for PAPR Reduction in OFDM Systems
Chih-Peng Li,Sen-Hung Wang,Kun-Sheng Lee,Chin-Liang Wang +3 more
- 08 Dec 2008
TL;DR: It is shown that while the PAPR reduction performances of the proposed schemes are marginally poorer than that of the traditional SLM scheme, the three schemes achieve a substantially lower computational complexity.
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A Novel Low-Complexity Precoded OFDM System With Reduced PAPR
TL;DR: The proposed scheme has a better PAPR performance and a lower computational complexity than T-OFDM and has an equivalent BER performance when their precoding matrices are designed in such a way as to obtain full frequency diversity.
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Gaussian Integer Sequences With Ideal Periodic Autocorrelation Functions
TL;DR: This paper presents two novel classes of perfect sequences constructed using two groups of base sequences, and a periodic cross-correlation function is derived, which has the same mathematical expression as the investigated sequences.
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PAPR Reduction in OFDM Systems Using Active Constellation Extension and Subcarrier Grouping Techniques
TL;DR: This letter proposes a novel ACE scheme, along with a low-complexity implementation, for orthogonal frequency division multiplexing (OFDM) systems, where the subcarrier grouping technique is adopted to increase the degrees of freedom in the optimization process.
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