Minimum distance decoding is a method used in error correction coding that focuses on finding the codeword in a codebook that has the smallest Hamming distance to the received word. This approach is closely tied to the concept of maximum likelihood decoding, as it seeks to identify the most likely transmitted message by minimizing the number of errors. By leveraging the structure of codewords and their distances, minimum distance decoding enhances reliability and accuracy in data transmission.
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