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Maximum Likelihood Decoding Techniques by Vidhya Nair is a document available to read on EtoBox.
Maximum likelihood decoding is used to determine the most likely transmitted codeword based on the received signal. It can be applied to both hard decision channels like the binary symmetric channel and soft decision channels like the Gaussian channel. The Viterbi algorithm performs maximum likelihood decoding with reduced complexity by only considering the most likely trellis paths at each step and eliminating unlikely paths. It works by calculating a metric to measure the similarity between received signa
- Author
- Vidhya Nair
- Language
- EN