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The document summarizes the Viterbi algorithm, which is used to estimate the state sequence of a discrete-time finite-state Markov process observed in memoryless noise. It provides examples of problems that can be modeled in this way, including convolutional codes, intersymbol interference, frequency-shift keying, and text recognition. The algorithm finds the most likely state sequence by using a recursive optimal method. It reviews applications of the algorithm and predicts its increasing use in other area

Author

Basheer V.P

Language

EN