Howtosignalprocessing
- What problem does Viterbi algorithm solve?
- How do you use Viterbi algorithm?
- Why do we use Viterbi algorithm?
What problem does Viterbi algorithm solve?
The Viterbi algorithm is a dynamic programming algorithm for obtaining the maximum a posteriori probability estimate of the most likely sequence of hidden states—called the Viterbi path—that results in a sequence of observed events, especially in the context of Markov information sources and hidden Markov models (HMM).
How do you use Viterbi algorithm?
This probability P(S) is given by the sum of the probabilities pi(S) of each possible path that produces this sequence. The probability P(S) can be computed by dynamical programming using either the so-called Forward or the Backward algorithm. Start G G C A H 0 0.5*0.3=0.15 0.15*0.5*0.3 + 0.1*0.4*0.3=0.0345 ...
Why do we use Viterbi algorithm?
So, the Viterbi Algorithm not only helps us find the π(k) values, that is the cost values for all the sequences using the concept of dynamic programming, but it also helps us to find the most likely tag sequence given a start state and a sequence of observations.
