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Nonstationary signal reconstruction from TVAR coefficients

Najeeb, Athaur Rahman and Gunawan, Teddy Surya and Aibinu, Abiodun Musa (2018) Nonstationary signal reconstruction from TVAR coefficients. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017, 28 - 30 November 2017, The Everly Putrajaya Hotel, Kuala Lumpur.

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Abstract

Nonstationary signal (NSS) reconstruction from Time Varying (TV) coefficients of Time Varying Autoregressive (TVAR) process is presented in this paper. The proposed method consists of three steps, where in the first step, initial values for TVAR coefficients are estimated from synaptic weights of a three layer Artificial Neural Network (ANN) which is trained using Backpropagation (BP) learning algorithm. The estimated TVAR coefficients are then optimized using a Genetic Algorithm optimization algorithm for more accurate values in the second step. And finally once the TVAR coefficients are estimated using ANN and GA, it is then used to recover the original signal. Performance of proposed method has been evaluated by comparing reconstruction of various computer generated NSS from proposed methods with other methods. Five performance metrics was used for comparison where proposed method is shown to overcome the performance of other methods.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 3800/60066
Uncontrolled Keywords: ANN, GA, nonstationary, reconstructions, TVAR
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 14 Dec 2017 11:08
Last Modified: 08 Nov 2018 13:26
URI: http://irep.iium.edu.my/id/eprint/60066

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