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Everything about BCJR algorithm
Error correction algorithm
The Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises. The algorithm was introduced in 1974 by Lalit R. Bahl, John Cocke, Frederick Jelinek and Josef Raviv, whose surnames give it its name. It applies to both linear block codes and convolutional codes. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: BCJR algorithmA 5-minute orientation
- Skim a recent paper: Least-squares-assisted BCJR algorithm for severe ISI mitigation in bandwidth-limited IM/DD optical interconnectionInfluential work since 2022
- Read the landmark paper: Concatenated decoding with a reduced-search BCJR algorithmCited 149 times
- Go sideways: Inverse-gamma distributionA closely related topic
- Go sideways: Cyclotomic fast Fourier transformA closely related topic
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🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Concatenated decoding with a reduced-search BCJR algorithm
Reduced-state BCJR-type algorithms
Reduced-Complexity BCJR Algorithm for Turbo Equalization
Novel Reduced-State BCJR Algorithms
Reduced‐trellis equalization using the M‐BCJR algorithm
M-BCJR algorithm with channel shortening based on ungerboeck observation model for faster-than-Nyquist signaling
A Generalized BCJR Algorithm and Its Use in Iterative Blind Channel Identification
Neural network implementation of the BCJR algorithm
🆕 Influential since 2022
📚 Books worth reading
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