BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of...
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oai:animorepository.dlsu.edu.ph:faculty_research-35872021-10-18T09:01:29Z BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems Abinoja, Daniel Dominic N. Materum, Lawrence Y. A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of a parameter selection framework utilizing the Bayesian Information Criterion (BIC). Statistical preprocessing with support vector decomposition and normalization will also be handled. © 2016 IEICE. 2017-01-17T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2588 Faculty Research Work Animo Repository Radio—Transmitters and transmission Radio wave propagation Electrical and Computer Engineering Electrical and Electronics Systems and Communications |
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Radio—Transmitters and transmission Radio wave propagation Electrical and Computer Engineering Electrical and Electronics Systems and Communications |
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Radio—Transmitters and transmission Radio wave propagation Electrical and Computer Engineering Electrical and Electronics Systems and Communications Abinoja, Daniel Dominic N. Materum, Lawrence Y. BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
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A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of a parameter selection framework utilizing the Bayesian Information Criterion (BIC). Statistical preprocessing with support vector decomposition and normalization will also be handled. © 2016 IEICE. |
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text |
author |
Abinoja, Daniel Dominic N. Materum, Lawrence Y. |
author_facet |
Abinoja, Daniel Dominic N. Materum, Lawrence Y. |
author_sort |
Abinoja, Daniel Dominic N. |
title |
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
title_short |
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
title_full |
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
title_fullStr |
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
title_full_unstemmed |
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems |
title_sort |
bic-based optimization of the identification of multipath propagation clusters in mimo wireless systems |
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Animo Repository |
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2017 |
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https://animorepository.dlsu.edu.ph/faculty_research/2588 |
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