Approximate Weight Distribution of Polarization-Adjusted Convolutional (PAC) Codes
Author:
Affiliation:
1. Bilkent University,Dept. of Electrical and Electronics Engineering,Ankara,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834587.pdf?arnumber=9834587
Reference19 articles.
1. A modified Q-learning algorithm for rate-profiling of polarization adjusted convolutional (PAC) codes;mishra,2021
2. Optimized rate-profiling for PAC codes;sun,2021
3. On Probabilistic Weight Distribution of Polar Codes
4. An Enhanced Probabilistic Computation Method for the Weight Distribution of Polar Codes
5. Distance spectrum analysis of polar codes
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1. Improve Polar/PAC Codes via Efficient Estimation on Weight Distribution;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
2. A Practical Concatenated Coding Scheme for Noisy Shuffling Channels with Coset-based Indexing;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
3. Application of Guessing to Sequential Decoding of Polarization-Adjusted Convolutional (PAC) Codes;IEEE Transactions on Communications;2023-08
4. New Search for the Polarization-Adjusted Convolutional Codes with Respect to the AFER-Optimality Criterion;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
5. Design of Polar Codes and PAC Codes for SCL Decoding;IEEE Transactions on Communications;2023-05
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