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
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Official URL: https://www.ijcaonline.org/archives/volume60/numbe...
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Wavelet transforms longest common subsequence, Basic, Local, Alignment, Search Tool |
| Subjects: | Q Science |
| Divisions: | Science |
| ID Code: | 31106 |
| Deposited By: | Fazli Masari |
| Deposited On: | 15 May 2014 01:48 |
| Last Modified: | 25 Mar 2019 08:08 |
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