SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS

A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models) is solved for the hidden semi-Markov QP-model....

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Main Authors: V. M. Deundyak, M. A. Zhdanova
Format: Article
Language:Russian
Published: Don State Technical University 2014-12-01
Series:Advanced Engineering Research
Subjects:
Online Access:https://www.vestnik-donstu.ru/jour/article/view/345
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author V. M. Deundyak
M. A. Zhdanova
author_facet V. M. Deundyak
M. A. Zhdanova
author_sort V. M. Deundyak
collection DOAJ
description A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models) is solved for the hidden semi-Markov QP-model. The solution is based on Shun-Zheng Yu forward algorithm for a general hidden semi-Markov model. This approach differs from the traditional one and employs posterior probabilities. The estimation problem solution of the hidden semi-Markov QP-model is an important step in solving the following more specific problem. That is the selection problem based on the recorded in the data channel model error sequence from the base of hidden semi-Markov QP-models that generates the closest to the channel sequence error streams. The fitting problem solution will make it possible to evaluate the correcting capability of the noise-free codec towards errors of various types, and to select the optimal codec for a particular communication channel on the basis of the computer simulation experiments.
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institution Kabale University
issn 2687-1653
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publishDate 2014-12-01
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spelling doaj-art-8a4ff219a8f34fa3a98ca14a0e6b552d2025-08-20T03:57:12ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532014-12-0114451610.12737/6814338SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELSV. M. DeundyakM. A. ZhdanovaA hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models) is solved for the hidden semi-Markov QP-model. The solution is based on Shun-Zheng Yu forward algorithm for a general hidden semi-Markov model. This approach differs from the traditional one and employs posterior probabilities. The estimation problem solution of the hidden semi-Markov QP-model is an important step in solving the following more specific problem. That is the selection problem based on the recorded in the data channel model error sequence from the base of hidden semi-Markov QP-models that generates the closest to the channel sequence error streams. The fitting problem solution will make it possible to evaluate the correcting capability of the noise-free codec towards errors of various types, and to select the optimal codec for a particular communication channel on the basis of the computer simulation experiments.https://www.vestnik-donstu.ru/jour/article/view/345error source modelerror flowdigital transmission channelhidden semi-markov modelevaluation problem.
spellingShingle V. M. Deundyak
M. A. Zhdanova
SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
Advanced Engineering Research
error source model
error flow
digital transmission channel
hidden semi-markov model
evaluation problem.
title SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
title_full SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
title_fullStr SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
title_full_unstemmed SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
title_short SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
title_sort solution to evaluation problem of hidden semi markov qp models
topic error source model
error flow
digital transmission channel
hidden semi-markov model
evaluation problem.
url https://www.vestnik-donstu.ru/jour/article/view/345
work_keys_str_mv AT vmdeundyak solutiontoevaluationproblemofhiddensemimarkovqpmodels
AT mazhdanova solutiontoevaluationproblemofhiddensemimarkovqpmodels