Error Correction Coding: Mathematical Methods and Algorithms

By Todd K. Moon. 2005

1,073 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/85c582be5fab1e6315164ce9b68c079ea5a8e1bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Nariman Farsad
2. Yu Sun
3. Le Yi Wang
4. Huseyin Birkan Yilmaz
5. Chan-Byoung Chae
6. Weisi Guo
7. Andrew W. Eckford
8. George Yin

Citations in the corpus

• Asymptotic properties of consensus-type algorithms for networked systems with regime-switching topologies (2011, background): “To enhance channel efficiency and reduce noise effects, source symbols are encoded (Haykin, 2001; Moon, 2005).”
• Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, unknown): “focus on the bit error correction mechanism [137] that can further increase the probability that SI is correctly transmitted.”
• A Comprehensive Survey of Recent Advancements in Molecular Communication (2014, background): “Many different capacity-approaching codes such as low density parity check (LDPC) codes and turbo codes have been developed for the traditional communication systems [218].”