Howtosignalprocessing
- What are the limitations of Viterbi decoding?
- Why Viterbi decoding is efficient?
- Which technique is used for Viterbi algorithm for decoding?
- Why do we need Viterbi algorithm?
What are the limitations of Viterbi decoding?
Limitations. A physical implementation of a viterbi decoder will not yield an exact maximum-likelihood stream due to quantization of the input signal, branch and path metrics, and finite traceback length. Practical implementations do approach within 1 dB of the ideal.
Why Viterbi decoding is efficient?
It is widely used in communication and signal processing to achieve low-error-rate data transmission. The Viterbi decoding method uses the maximum likelihood decoding (MLD) algorithm, which finds the most likely pattern from the received data, and is known as the optimum decoding method [1].
Which technique is used for Viterbi algorithm for decoding?
The Viterbi algorithm is based on the Maximum-Likelihood decoding technique. The main purpose of the decoder is to select the code word with the minimum distance between the received signal and the code word.
Why do we need 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.
