The Viterbi decoding algorithm implements maximum-likelihood sequence detection (MLSD) for convolutional error-correcting codes. By evaluating paths across a state trellis diagram, the algorithm calculates accumulated path metrics using the Add-Compare-Select (ACS) recursion. At each stage, suboptimal paths are pruned, preserving only survivor paths to trace back and reconstruct the most likely transmitted bit sequence.