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

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.

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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.

Item Type: Article (Journal)
Additional Information: 6472/1483
Uncontrolled Keywords: Parametric, CVNN-based technique, CARMA model
Subjects: T Technology > T Technology (General) > T10.5 Communication of technical information
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 26 Aug 2011 10:11
Last Modified: 03 Oct 2011 14:59
URI: http://irep.iium.edu.my/id/eprint/1483

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