Výsledky vyhledávání - Deep polar coding decoding

Joint TL-SCL-BPPC Decoder for the Double Deep Polar Codes.

Autoři: Babu, Tummala Aravinda Reddy, Karna Vishnu Vardhana Reddy, D. Venkat a další

Zdroj: Wireless Personal Communications; Apr2025, Vol. 141 Issue 3/4, p519-542, 24p

Témata: CHANNEL coding, ITERATIVE decoding, DECODING algorithms, MEAN square algorithms, BIT error rate

For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder

Autoři: Song, Huiying Luo, Yihao Fukuzawa, Yuma

Témata: Computer Science - Information Theory, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2307.08004

Neural-Polar 码;一种基于深度学习的新型信道编码方案. (Chinese)

Alternate Title: Neural-Polar code: An inventing channel coding scheme based on deep learning. (English)

Autoři: 金林贤 王旭东 吴楠

Zdroj: Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) / Chongqing Youdian Daxue Xuebao (Ziran Kexue Ban); Jun2024, Vol. 36 Issue 3, p430-437, 8p

Convolution Assisted Polar Encoder with Flexible Iterative Decoding for Forward Error Correction in Wireless Communication Incorporated in Fpga.

Autoři: T., Ranjitha Devi C., Kamalnathan

Zdroj: Infocommunications Journal; Sep2025, Vol. 17 Issue 3, p54-61, 8p

Recent Advances in Deep Learning for Channel Coding: A Survey

Autoři: Matsumine, Toshiki Ochiai, Hideki

Témata: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2406.19664

Polar code construction by estimating noise using bald hawk optimized recurrent neural network model.

Autoři: Kshirsagar, Sunil Yadav Marka, Venkatrajam

Zdroj: Scientific Reports; 7/2/2025, Vol. 15 Issue 1, p1-18, 18p

Témata: ARTIFICIAL neural networks, RECURRENT neural networks, BIT error rate, ERROR-correcting codes, ARTIFICIAL intelligence

Rate-Matching Deep Polar Codes via Polar Coded Extension

Autoři: Choi, Geon Lee, Namyoon

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Přístupová URL adresa: http://arxiv.org/abs/2505.06867

Recent Advances in Deep Learning for Channel Coding: A Survey

Autoři: Toshiki Matsumine Hideki Ochiai

Zdroj: IEEE Open Journal of the Communications Society, Vol 5, Pp 6443-6481 (2024)

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, low-density parity check (LDPC) codes, machine learning (ML), neural network, Computer Science - Information Theory, Information Theory (cs.IT), TK5101-6720, Channel coding, polar codes, deep learning (DL), Telecommunication, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Transportation and communications, HE1-9990

Přístupová URL adresa: http://arxiv.org/abs/2406.19664
https://doaj.org/article/760c4c6dfa1641388b5cfc04f1e05495

Research on BP Decoding of Polar Codes Aided by Deep Learning

Autoři: Chang Yun Guiping Li

Zdroj: 2021 International Conference on Computer Network, Electronic and Automation (ICCNEA). :105-110

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9603787
http://xplorestaging.ieee.org/ielx7/9603278/9603725/09603787.pdf?arnumber=9603787

A Method for Estimating the Scaling Factor of Systematic Turbo Polar Codes Using a Feed Forward Neural Network.

Autoři: Mohammed, Hadeel Abdullah Hamad, Ahmed Abdulkadhim

Zdroj: Mathematical Modelling of Engineering Problems; Feb2025, Vol. 12 Issue 2, p378-384, 7p

Témata: FEEDFORWARD neural networks, TURBO codes, ADDITIVE white Gaussian noise channels, TIME complexity, LINEAR network coding

Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation

Autoři: Abdel-Qader, Ahmad Chaaban, Anas Shehata, Mohamed S.

Zdroj: 2025 International Wireless Communications and Mobile Computing (IWCMC). :491-496

Témata: Signal Processing (eess.SP), FOS: Computer and information sciences, Emerging Technologies (cs.ET), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Emerging Technologies

Přístupová URL adresa: http://arxiv.org/abs/2506.23511

Bidirectional Deep Learning Decoder for Polar Codes in Flat Fading Channels

Autoři: Md Abdul Aziz Md Habibur Rahman Mohammad Abrar Shakil Sejan a další

Zdroj: IEEE Access, Vol 12, Pp 149580-149592 (2024)

Témata: PER, deep neural network (DNN), bi-directional long-short-term memory (Bi-LSTM), convolutional neural network (CNN), Polar code, Electrical engineering. Electronics. Nuclear engineering, wireless communication, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f709f7d328554218a9a9f33009f24c48

DIR-Net: Deep Residual Polar Decoding Network Based on Information Refinement

Autoři: Bixue Song Yongxin Feng Yang Wang

Zdroj: Entropy (Basel)
Entropy, Vol 24, Iss 12, p 1809 (2022)
Entropy; Volume 24; Issue 12; Pages: 1809

Témata: polar codes, deep learning, DIR-Net, denoising subnetwork, decoding subnetwork, attention mechanism, Science, Physics, QC1-999, 02 engineering and technology, Astrophysics, Article, QB460-466, 0202 electrical engineering, electronic engineering, information engineering

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36554214
https://doaj.org/article/04395937bf944360a71c424d9a65530d

A Low-Complexity Belief Propagation Based Decoding Scheme for Polar Codes - Decodability Detection and Early Stopping Prediction

Autoři: Yaohan Wang Shunqing Zhang Chuan Zhang a další

Zdroj: IEEE Access, Vol 7, Pp 159808-159820 (2019)

Témata: early stop prediction, Polar codes, BP decoding, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, decodability detection, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08888244.pdf
https://doaj.org/article/8ef26d69f14e47afab39903533a57271
https://dblp.uni-trier.de/db/journals/access/access7.html#WangZZCX19
https://ieeexplore.ieee.org/document/8888244

An efficient Spotted Hyena Optimizer based Multiuser Detection for Polar Encoder.

Alternate Title: Učinkovito zaznavanje več uporabnikov za polarni kodirnik na osnovi Spotted Hyena optimizatorja. (Slovenian)

Autoři: George Alexander, Biju George Rajathurai, Ablin Anthonymuthu, Albert Raj

Zdroj: Informacije MIDEM: Journal of Microelectronics, Electronic Components & Materials; Jun2025, Vol. 55 Issue 2, p127-136, 10p

Témata: MULTIUSER detection (Telecommunication), ERROR-correcting codes, 6G networks, OPTIMIZATION algorithms, COMPUTER performance, MATHEMATICAL optimization, 5G networks

RC-LDPC-Polar Codes for Information Reconciliation in Continuous-Variable Quantum Key Distribution.

Autoři: Hua, Fei Chen, Kun Deng, Wei a další

Zdroj: Entropy; Oct2025, Vol. 27 Issue 10, p1025, 12p

Témata: SIGNAL-to-noise ratio, QUANTUM cryptography, FAULT tolerance (Engineering), SIMULATION methods & models, ERROR-correcting codes

Improving NB-IoT performance in weak coverage areas with CBSTO polar coding and LMMSE channel estimation.

Autoři: Bavani, G Srinivasan, V. Prasanna Balasubadra, K. a další

Zdroj: Peer-to-Peer Networking & Applications; Jul2024, Vol. 17 Issue 4, p2384-2396, 13p

Témata: CHANNEL estimation, MEAN square algorithms, CHANNEL coding, VIDEO coding, ARTIFICIAL neural networks, WIRELESS channels

Raptor-like Rateless Spinal Codes using Outer Systematic Polar Codes for Reliable Deep Space Communications

Autoři: Hao Liang Aijun Liu Chao Gong a další

Zdroj: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). :1045-1050

Témata: 0203 mechanical engineering, 9. Industry and infrastructure, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/infocom/infocom2020w.html#0004LTG20
http://ieeexplore.ieee.org/document/9162666/
https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162666
https://ieeexplore.ieee.org/document/9162666/

DNC-Aided SCL-Flip Decoding of Polar Codes

Autoři: Tao, Yaoyu Zhang, Zhengya

Témata: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2101.10498

Research on polar Decoding Method Based on Convolutional Neural Network

Autoři: MengXue Yan Zhongdong Wu Xiang Hui Liu

Zdroj: 2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). :233-236

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9526141/authors