Orthogonal and biorthogonal wavelet analysis of visual evoked potentials
In the present work the performance of orthogonal and Biorthogonal wavelet filters were analyzed for visual evoked potentials (VEP) on a variety of noisy signals. The signals were analyzed at different signal to noise ratio (SNR). This research proposed a method for the selection of the best analysi...
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| Format: | Article |
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Foundation of Computer Science
2012
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| _version_ | 1796856824205410304 |
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| author | Hassoney, Ahmed Fadhil Ismail, Abd. Khamim Hamza, Hentabli |
| author_facet | Hassoney, Ahmed Fadhil Ismail, Abd. Khamim Hamza, Hentabli |
| author_sort | Hassoney, Ahmed Fadhil |
| collection | ePrints |
| description | In the present work the performance of orthogonal and Biorthogonal wavelet filters were analyzed for visual evoked potentials (VEP) on a variety of noisy signals. The signals were analyzed at different signal to noise ratio (SNR). This research proposed a method for the selection of the best analysis. The proposed method used longest common subsequence (LCS) and basic local alignment search tool (BLAST) to measure the analysis performance objectively and visual quality subjectively of the signal analysis. It was found that orthogonal wavelets outperform the biorthogonal ones in both the criteria especially at high noisy signal. |
| first_indexed | 2024-03-05T18:48:50Z |
| format | Article |
| id | utm.eprints-31106 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:48:50Z |
| publishDate | 2012 |
| publisher | Foundation of Computer Science |
| record_format | dspace |
| spelling | utm.eprints-311062019-03-25T08:08:22Z http://eprints.utm.my/31106/ Orthogonal and biorthogonal wavelet analysis of visual evoked potentials Hassoney, Ahmed Fadhil Ismail, Abd. Khamim Hamza, Hentabli Q Science In the present work the performance of orthogonal and Biorthogonal wavelet filters were analyzed for visual evoked potentials (VEP) on a variety of noisy signals. The signals were analyzed at different signal to noise ratio (SNR). This research proposed a method for the selection of the best analysis. The proposed method used longest common subsequence (LCS) and basic local alignment search tool (BLAST) to measure the analysis performance objectively and visual quality subjectively of the signal analysis. It was found that orthogonal wavelets outperform the biorthogonal ones in both the criteria especially at high noisy signal. Foundation of Computer Science 2012 Article PeerReviewed Hassoney, Ahmed Fadhil and Ismail, Abd. Khamim and Hamza, Hentabli (2012) Orthogonal and biorthogonal wavelet analysis of visual evoked potentials. International Journal of Computer Applications, 60 (4). pp. 50-52. ISSN 0975 – 8887 https://www.ijcaonline.org/archives/volume60/number4/9684-4119 DOI :10.5120/9684-4119 |
| spellingShingle | Q Science Hassoney, Ahmed Fadhil Ismail, Abd. Khamim Hamza, Hentabli Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title | Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title_full | Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title_fullStr | Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title_full_unstemmed | Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title_short | Orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| title_sort | orthogonal and biorthogonal wavelet analysis of visual evoked potentials |
| topic | Q Science |
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