Results 1 to 10 of about 55,006 (96)
Survey of Turbo, LDPC, and Polar Decoder ASIC Implementations
IEEE Communications Surveys and Tutorials, 2019 Channel coding may be viewed as the best-informed and most potent component of cellular communication systems, which is used for correcting the transmission errors inflicted by noise, interference, and fading.
Peter Hailes, Tsang-Yi Wang, Jwo-Yuh Wu
exaly +2 more sources
Component Training of Turbo Autoencoders [PDF]
International Symposium on Turbo Codes and Iterative Information Processing, 2023 Isolated training with Gaussian priors (TGP) of the component autoencoders of turbo-autoencoder architectures enables faster, more consistent training and better generalization to arbitrary decoding iterations than training based on deep unfolding.
Jannis Clausius +2 more
semanticscholar +1 more source
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning [PDF]
IEEE Journal on Selected Areas in Information Theory, 2020 Federated learning is a distributed framework for training machine learning models over the data residing at mobile devices, while protecting the privacy of individual users.
Jinhyun So, Basak Guler, A. Avestimehr
semanticscholar +1 more source
Sustainability, 2023 In recent years, numerous turbo-roundabouts have been built in many European countries. To date, there are no turbo-roundabouts in Italy and even the regulations do not provide for their implementation.
S. Leonardi, N. Distefano
semanticscholar +1 more source
Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes [PDF]
International Symposium on Turbo Codes and Iterative Information Processing, 2021 Attracted by its scalability towards practical code-word lengths, we revisit the idea of Turbo-autoencoders for end-to-end learning of PHY-Layer communications.
Jannis Clausius +3 more
semanticscholar +1 more source
Iteration Overlap for Low-Latency Turbo Decoding
International Symposium on Turbo Codes and Iterative Information Processing, 2023 Achieving high decoding throughput and latency has been challenging for turbo decoders due to the limitations in terms of parallelism on component decoder level.
Stefan Weithoffer +3 more
semanticscholar +1 more source
Turbo-XZ Algorithm: Low-Latency Decoders for Quantum LDPC Codes
International Symposium on Turbo Codes and Iterative Information Processing, 2023 We propose a low latency hardware-friendly decoding framework for Calderbank-Shor-Steane (CSS) quantum low-density parity-check (QLDPC) codes under the depolarizing noise model. With a given latency constraint, the proposed decoder, referred to generally
Nithin Raveendran +2 more
semanticscholar +1 more source
Construction of Symbol Transformations for Non-Binary Turbo Codes with Lowered Error Floor
International Symposium on Turbo Codes and Iterative Information Processing, 2023 Non-binary variants of Turbo and LDPC codes are known to provide significantly improved error correcting performance over their binary counterparts in particular for short frame sizes.
Jonas Wilking +2 more
semanticscholar +1 more source
İsrail’in Savunma Stratejisi’nde Denizaltı Filosu’nun Rolü
Güvenlik Stratejileri Dergisi, 2019 Bu calismada, Israil’in Savunma Stratejisi’nde Denizalti Filosu’nun rolunun incelenmesi amaclanmaktadir. Israil’in Savunma Stratejisi’nin temel sacayaklarindan birisini caydiricilik ilkesi olusturmaktadir.
Cenk Özgen
semanticscholar +1 more source