Z
Zhongfeng Wang
Researcher at Nanjing University
Publications - 344
Citations - 4424
Zhongfeng Wang is an academic researcher from Nanjing University. The author has contributed to research in topics: Decoding methods & Low-density parity-check code. The author has an hindex of 31, co-authored 289 publications receiving 3446 citations. Previous affiliations of Zhongfeng Wang include Tsinghua University & Broadcom.
Papers
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Journal ArticleDOI
An Efficient VLSI Architecture for Nonbinary LDPC Decoders
TL;DR: An efficient selective computation algorithm, which totally avoids the sorting process, is proposed for Min-Max decoding and an efficient VLSI architecture for a nonbinary Min- Max decoder is presented.
Journal ArticleDOI
Low-Complexity High-Speed Decoder Design for Quasi-Cyclic LDPC Codes
Zhongfeng Wang,Zhiqiang Cui +1 more
TL;DR: Enhanced partially parallel decoding architectures for quasi-cyclic low density parity check (QC-LDPC) codes are proposed to linearly increase the throughput of conventional partially parallel decoders through introducing a small percentage of extra hardware.
Journal ArticleDOI
High-throughput layered decoder implementation for quasi-cyclic LDPC codes
TL;DR: This paper presents a high-throughput decoder design for the Quasi-Cyclic (QC) Low-Density Parity-Check (LDPC) codes, and two new techniques are proposed, including parallel layered decoding architecture (PLDA) and critical path splitting.
Journal ArticleDOI
High-Throughput Layered LDPC Decoding Architecture
TL;DR: This paper presents a high-throughput decoder architecture for generic quasi-cyclic low-density parity-check (QC-LDPC) codes and an approximate layered decoding approach is explored to reduce the critical path of the layered LDPC decoder.
Proceedings ArticleDOI
On finite precision implementation of low density parity check codes decoder
TL;DR: Simulation results indicate that the quantization scheme for the LDPC decoder is effective in approximating the infinite precision implementation, and 4 bits and 6 bits are adequate for representing the received data and extrinsic information.