Graph neural network pooling for BCH channel decoding in software defined satellites
This paper delves into the transformative impact of Deep Learning (DL) techniques on
decoding tasks at the physical layer onboard regenerative software-defined satellites …
decoding tasks at the physical layer onboard regenerative software-defined satellites …
[HTML][HTML] Graph Neural Network (GNN) for Joint Detection–Decoder MAP–LDPC in Bit-Patterned Media Recording Systems
TA Nguyen, J Lee - Electronics, 2024 - mdpi.com
With its high area density, bit-patterned media recording (BPMR) is emerging as a leading
technology for next-generation storage systems. However, as area density increases …
technology for next-generation storage systems. However, as area density increases …
Novel Approach towards a Fully Deep Learning-Based IoT Receiver Architecture: From Estimation to Decoding
As the Internet of Things (IoT) continues to expand, wireless communication is increasingly
widespread across diverse industries and remote devices. This includes domains such as …
widespread across diverse industries and remote devices. This includes domains such as …
A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
M Blok, B Czaplewski - International Conference on Computational …, 2024 - Springer
Forward error correction is crucial for communication, enabling error rate or required SNR
reduction. Longer codes improve correction ratio. Iterated codes offer a solution for …
reduction. Longer codes improve correction ratio. Iterated codes offer a solution for …