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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Foundation of Computer Science
2012
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/31106/ https://www.ijcaonline.org/archives/volume60/number4/9684-4119 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|