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Chao-Yu Chen

Researcher at National Cheng Kung University

Publications -  40
Citations -  702

Chao-Yu Chen is an academic researcher from National Cheng Kung University. The author has contributed to research in topics: Binary Golay code & Boolean function. The author has an hindex of 12, co-authored 40 publications receiving 447 citations. Previous affiliations of Chao-Yu Chen include University of Essex & National Tsing Hua University.

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Two Low-Complexity Reliability-Based Message-Passing Algorithms for Decoding Non-Binary LDPC Codes

TL;DR: This paper presents two low-complexity reliability-based message-passing algorithms for decoding LDPC codes over non-binary finite fields that provide effective trade-off between error performance and decoding complexity compared to the non- binary sum product algorithm.
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A Novel Construction of Z-Complementary Pairs Based on Generalized Boolean Functions

TL;DR: A novel construction of binary and nonbinary Z-complementary pairs based on generalized Boolean functions is proposed and both even- and odd-length ZCPs can be obtained by the proposed construction.
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Complementary Sets of Non-Power-of-Two Length for Peak-to-Average Power Ratio Reduction in OFDM

TL;DR: Novel constructions of binary and nonbinary complementary sets of non-power-of-two length are proposed that can be applied in practical OFDM systems where the number of used subcarriers is not a power of two.
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Complete complementary codes and generalized reed-muller codes

TL;DR: This letter proposes a direct general construction of CCCs from cosets of the first-order Reed-Muller codes, which includes previous results as a special case and can provide advantages in applications to cellular CDMA systems.
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Optimal Z-Complementary Sequence Sets With Good Peak-to-Average Power-Ratio Property

TL;DR: In this letter, a novel construction of Z-complementary sequence (ZCS) sets is proposed based on generalized Boolean functions and the constructed ZCS set is optimal since the set size achieves the theoretical upper bound.