Question

What does the term “hidden” refer to in hidden Markov model technique?

(a) Parameters of input

(b) Sate sequence

(c) Parameters of model

(d) Fixed standards of model

The question was asked by my school principal while I was bunking the class.

This intriguing question originated from Techniques topic in section Cognitive Techniques of Cognitive Radio

Answer 1

Right option is (b) Sate sequence

The explanation: In a hidden Markov model, the state is not directly available to the observer. The output, dependant on the state, is available. The parameters of the model are not hidden, and the model is referred to as hidden Markov model even when the parameters are explicitly available.