Noise-Centric Decoding
Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice due to the lack of a feasible implementation. As the common approach in coding theory is a code-centric one, designing a ML decoder is a challenging code-specific task. W...
| मुख्य लेखक: | |
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| अन्य लेखक: | |
| स्वरूप: | थीसिस |
| प्रकाशित: |
Massachusetts Institute of Technology
2022
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| ऑनलाइन पहुंच: | https://hdl.handle.net/1721.1/140190 |