Maximum likelihood decoding is a statistical approach used to determine the most likely transmitted codeword from a received signal in the presence of noise. This method relies on calculating the likelihood of various possible codewords and selecting the one that maximizes this likelihood, thus making it an essential concept in error correction and decoding schemes for different types of codes, including convolutional and turbo codes.
congrats on reading the definition of maximum likelihood decoding. now let's actually learn it.