Coding Theory
Belief propagation is an algorithm used for performing inference on graphical models, particularly in the context of decoding error-correcting codes. It works by passing messages along the edges of a graph representing the code, allowing nodes to update their beliefs about the value of variables based on incoming information. This technique is particularly effective in soft-decision decoding, iterative decoding processes, and encoding techniques for low-density parity-check (LDPC) codes.
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