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LDPC codes: comparing cluster graphs to factor graphs

By J. Toit and others
We present a comparison study between a cluster and factor graph representation of LDPC codes. In probabilistic graphical models, cluster graphs retain useful dependence between random variables during inference, which are advantageous in terms of computational cost, convergence speed, and accuracy of marginal probabilities. This study investigates these benefits in... Show more
October 2, 2023
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LDPC codes: comparing cluster graphs to factor graphs
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