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| Title: | Codeword Length Estimation of LDPC Codes with Limited Data |
| Authors: | Dinesh, Ambati Ramabadran, Swaminathan |
| Keywords: | Codes (symbols)|Digital communication systems|Digital storage|Forward error correction|Military applications|Optical communication|Blind estimation algorithm|Blind estimations|Codeword length|Communications systems|Digital communications|Forward error correcting|Forward error correcting codes|Length estimation|Limited data|Low-density parity-check codes|Blind equalization |
| Issue Date: | 2022 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Dinesh, A., & Swaminathan, R. (2022). Codeword length estimation of LDPC codes with limited data. Paper presented at the 2022 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 270-274. doi:10.1109/COMSNETS53615.2022.9668582 Retrieved from www.scopus.com |
| Abstract: | Forward error correcting (FEC) channel codes play a crucial role in improving the reliability of digital communication and storage systems. Blind estimation of FEC codes plays a significant role in military and spectrum surveillance applications. In this paper, novel blind estimation algorithms are proposed to estimate the codeword length of low-density parity check (LDPC) codes at the receiver considering non-cooperative scenario and assuming the availability of only limited amount of data. Simulations have been performed to validate the proposed blind estimation algorithms over erroneous channel conditions. © 2022 IEEE. |
| URI: | https://dspace.iiti.ac.in/handle/123456789/9756 https://doi.org/10.1109/COMSNETS53615.2022.9668582 |
| ISBN: | 978-1665421041 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Electrical Engineering |
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