This project parses a small discrete HMM from a text file, reads an observation sequence, runs the Viterbi dynamic programming algorithm (using log-probabilities), and prints the most likely ...

This project implements a robust Part-of-Speech (POS) tagger from scratch using a Hidden Markov Model (HMM) framework. It explores and compares three n-gram models (Unigram, Bigram, and Trigram) to ...

Abstract: Turbo decoder uses any one of the decoding algorithm of Maximum a-posteriori Probability algorithm (MAP) or Soft Output Viterbi Algorithm (SOVA). The ...

With the consumer demand for increased content and as a result, increasing high data bandwidth continuing to drive communications systems, coding for error control ...