Determination of complex-valued parametric model coefficients using artificial neural network technique

A new approach for determining the coefficients of a complex-valued autoregressive (CAR) and complex-valued autoregressive moving average (CARMA) model coefficients using complex-valued neural network (CVNN) technique is discussed in this paper. The CAR and complex-valued moving average (CMA) coeffi...

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Main Authors:	Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format:	Article
Language:	English
Published:	Hindawi Publishing Corporation 2010
Subjects:	T10.5 Communication of technical information TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/1/AANS.pdf

id	iium-1483
recordtype	eprints
spelling	iium-14832011-10-03T06:59:18Z http://irep.iium.edu.my/1483/ Determination of complex-valued parametric model coefficients using artificial neural network technique Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin T10.5 Communication of technical information TK5101 Telecommunication. Including telegraphy, radio, radar, television A new approach for determining the coefficients of a complex-valued autoregressive (CAR) and complex-valued autoregressive moving average (CARMA) model coefficients using complex-valued neural network (CVNN) technique is discussed in this paper. The CAR and complex-valued moving average (CMA) coefficients which constitute a CARMA model are computed simultaneously from the adaptive weights and coefficients of the linear activation functions in a two-layered CVNN. The performance of the proposed technique has been evaluated using simulated complex-valued data (CVD) with three different types of activation functions. The results show that the proposed method can accurately determine the model coefficients provided that the network is properly trained. Furthermore, application of the developed CVNN-based technique for MRI Kspace reconstruction results in images with improve resolution. Hindawi Publishing Corporation 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1483/1/AANS.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2010) Determination of complex-valued parametric model coefficients using artificial neural network technique. Advances in Artificial Neural Systems. http://www.hindawi.com/journals/aans/ 10.1155/2010/984381
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	T10.5 Communication of technical information TK5101 Telecommunication. Including telegraphy, radio, radar, television Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Determination of complex-valued parametric model coefficients using artificial neural network technique
description	A new approach for determining the coefficients of a complex-valued autoregressive (CAR) and complex-valued autoregressive moving average (CARMA) model coefficients using complex-valued neural network (CVNN) technique is discussed in this paper. The CAR and complex-valued moving average (CMA) coefficients which constitute a CARMA model are computed simultaneously from the adaptive weights and coefficients of the linear activation functions in a two-layered CVNN. The performance of the proposed technique has been evaluated using simulated complex-valued data (CVD) with three different types of activation functions. The results show that the proposed method can accurately determine the model coefficients provided that the network is properly trained. Furthermore, application of the developed CVNN-based technique for MRI Kspace reconstruction results in images with improve resolution.
format	Article
author	Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_facet	Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_sort	Aibinu, Abiodun Musa
title	Determination of complex-valued parametric model coefficients using artificial neural network technique
title_short	Determination of complex-valued parametric model coefficients using artificial neural network technique
title_full	Determination of complex-valued parametric model coefficients using artificial neural network technique
title_fullStr	Determination of complex-valued parametric model coefficients using artificial neural network technique
title_full_unstemmed	Determination of complex-valued parametric model coefficients using artificial neural network technique
title_sort	determination of complex-valued parametric model coefficients using artificial neural network technique
publisher	Hindawi Publishing Corporation
publishDate	2010
url	http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/ http://irep.iium.edu.my/1483/1/AANS.pdf
first_indexed	2023-09-18T20:08:51Z
last_indexed	2023-09-18T20:08:51Z
_version_	1777407341369491456

Determination of complex-valued parametric model coefficients using artificial neural network technique

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