Nonstationary signal reconstruction from TVAR coefficients
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...
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| Format: | Proceeding Paper |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | http://irep.iium.edu.my/60066/ http://irep.iium.edu.my/60066/1/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_complete.pdf http://irep.iium.edu.my/60066/2/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_scopus.pdf |
| _version_ | 1848785426476695552 |
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| author | Najeeb, Athaur Rahman Gunawan, Teddy Surya Aibinu, Abiodun Musa |
| author_facet | Najeeb, Athaur Rahman Gunawan, Teddy Surya Aibinu, Abiodun Musa |
| author_sort | Najeeb, Athaur Rahman |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:52:57Z |
| format | Proceeding Paper |
| id | iium-60066 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:52:57Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-600662018-11-08T05:26:37Z http://irep.iium.edu.my/60066/ Nonstationary signal reconstruction from TVAR coefficients Najeeb, Athaur Rahman Gunawan, Teddy Surya Aibinu, Abiodun Musa TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical and Electronics Engineers Inc. 2018-03-09 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/60066/1/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_complete.pdf application/pdf en http://irep.iium.edu.my/60066/2/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_scopus.pdf 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. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8311982 10.1109/ICSIMA.2017.8311982 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Najeeb, Athaur Rahman Gunawan, Teddy Surya Aibinu, Abiodun Musa Nonstationary signal reconstruction from TVAR coefficients |
| title | Nonstationary signal reconstruction from TVAR coefficients |
| title_full | Nonstationary signal reconstruction from TVAR coefficients |
| title_fullStr | Nonstationary signal reconstruction from TVAR coefficients |
| title_full_unstemmed | Nonstationary signal reconstruction from TVAR coefficients |
| title_short | Nonstationary signal reconstruction from TVAR coefficients |
| title_sort | nonstationary signal reconstruction from tvar coefficients |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/60066/ http://irep.iium.edu.my/60066/ http://irep.iium.edu.my/60066/ http://irep.iium.edu.my/60066/1/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_complete.pdf http://irep.iium.edu.my/60066/2/60066_Nonstationary%20signal%20reconstruction%20from%20TVAR_scopus.pdf |