Branch metrics are numerical values used to measure the likelihood of a particular branch in a state diagram being selected based on received signal information. They play a crucial role in decoding processes, particularly in convolutional codes, as they help determine which path through the trellis is the most probable one. By evaluating these metrics, a decoder can efficiently navigate through the trellis structure to recover the original data.
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