low-density parity-check code
PulseAugur coverage of low-density parity-check code — every cluster mentioning low-density parity-check code across labs, papers, and developer communities, ranked by signal.
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New method trains decoder ensembles for improved LDPC code reliability
Researchers have developed a novel method for training ensembles of weighted belief propagation decoders to improve the reliability of decoding low-density parity-check (LDPC) codes. Instead of relying on code-specific …
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New research probes adversarial attacks on 5G neural receivers
Researchers have investigated the adversarial vulnerability of neural receivers used in 5G New Radio (NR) systems. They found that standard gradient-based attacks are ineffective due to gradient masking caused by the ta…
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SemQAM advances generative image transmission with joint coding and modulation
Researchers have developed SemQAM, a novel scheme for joint semantic-channel coding and modulation designed to improve generative image transmission. Unlike traditional methods that optimize these components separately,…
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MaskCode Transformer enhances feedback coding with structural knowledge
Researchers have developed MaskCode, a novel Transformer-based inner feedback code designed to enhance concatenated coding systems. MaskCode integrates knowledge of the outer linear block code through a soft syndrome-ba…
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Federated learning enhanced with polar codes for improved communication efficiency
Researchers have developed a novel federated learning (FL) scheme that utilizes polar codes to improve communication efficiency and robustness under noisy channel conditions. This cross-layer design selectively protects…
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Deep learning receiver boosts asynchronous comms in control networks
Researchers have developed a novel deep learning-based receiver designed to improve asynchronous grant-free random access in control-to-control communication networks. This system utilizes a convolutional neural network…
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Mamba-based neural decoder offers scalable solution for error-correcting codes
Researchers have developed a new neural decoder called MMPD, which utilizes Mamba state-space blocks to efficiently process long error-correcting codes. This attention-free approach significantly reduces memory and comp…
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Physics-inspired graph ensembles achieve high accuracy in image classification
Researchers have developed a novel physics-inspired approach for natural image classification, moving away from computationally expensive high-dimensional CNN features. Their method interprets frozen MobileNetV2 feature…