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 ...
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 ...
Abstract: Viterbi algorithm is a dynamic programming algorithm used to find out the most likely word uttered by the unknown speech signal. In Viterbi algorithm, the observation probabilities are ...
The Viterbi Algorithm, the elegant 41-year-old logical tool for rapidly eliminating dead end possibilities in reception of digital data, has a new application to go alongside its ubiquitous daily use ...
Today's wireless, cellular, and mobile communications devices rely on advanced algorithms, such as Viterbi estimation, to perform voice, video, audio, and data operations. These emerging technologies ...
With the consumer demand for increased content and as a result, increasing high data bandwidth continuing to drive communications systems, coding for error control ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
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