Fast-Converging and Low-Power LDPC Decoding: Algorithm, Architecture, and VLSI Implementation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-021-01680-0
Abstract: Low-latency and energy-efficient multi-Gbps LDPC decoding requires fast-converging iterative schedules. Hardware decoder architectures based on such schedules can achieve high throughput at low clock speeds, resulting in reduced power consumption and relaxed timing closure requirements… read more here.
Keywords: fast converging; power; ldpc; ldpc decoding ... See more keywords
Deep learning assisted LDPC decoding for 5G IoT networks in fading environments
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-21382-y
Abstract: With the deployment of 5G networks, the Internet of Things (IoT) has experienced a transformative boost, enabling higher data rates, reduced latency, and the connection of millions of devices across applications like smart cities, healthcare,… read more here.
Keywords: deep learning; ldpc decoding; fading environments; iot networks ... See more keywords
Next-Gen Decoding: Non-Binary LDPC Algorithms for Emerging Power Line and Visible Light Communications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3578151
Abstract: Non-Binary Low-Density Parity-Check (LDPC) codes have gained significant attention due to their remarkable error correction capabilities in various communication systems. Decoding algorithms play a pivotal role in realizing the potential of non-binary LDPC codes. This… read more here.
Keywords: ldpc; ldpc decoding; non binary; communication ... See more keywords
A Low-Complexity Neural Normalized Min-Sum LDPC Decoding Algorithm Using Tensor-Train Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3207506
Abstract: Compared with traditional low-density parity-check (LDPC) decoding algorithms, the current model-driven deep learning (DL)-based LDPC decoding algorithms face the disadvantage of high computational complexity. Based on the Neural Normalized Min-Sum (NNMS) algorithm, we propose a… read more here.
Keywords: normalized min; ldpc decoding; nnms algorithm; neural normalized ... See more keywords
Normalized Min-Sum Neural Network for LDPC Decoding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3212438
Abstract: The success of deep learning has encouraged its applications in decoding error-correcting codes, e.g., LDPC decoding. In this paper, we propose a model-driven deep learning method for normalized min-sum (NMS) low-density parity-check (LDPC) decoding, namely… read more here.
Keywords: network; normalized min; ldpc decoding; min sum ... See more keywords
Iteration and SDA-Driven LDPC Decoding Latency Reduction for 3-D TLC NAND Flash Memory
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2025.3572100
Abstract: To enhance the reliability of 3-D TLC NAND flash memory, low-density parity-check (LDPC) codes have become widely adopted. However, as the number of read, program or erasures increases, the raw bit error rate (RBER) of… read more here.
Keywords: tlc nand; ldpc decoding; memory; flash memory ... See more keywords