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Which among the following is not commonly determined by using hidden Markov model?

(a) Channel transition probabilities

(b) Decision making in cellular network

(c) Channel quality

(d) Signal classification

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Right answer is (d) Signal classification

To explain: Hidden Markov models use past data to predict future actions. It may be used to describe channel quality. It determines whether the process should move to the next or remain in the present state. The current channel statistics may be modelled and use for decision making in cellular network.

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