文章基本信息

标题：Performance Analysis of EEG Signal using Various Level of Daubechies Wavelet Transform
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作者：Sumit ; Nisha Raheja
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：12
页码：22271
DOI：10.15680/IJIRSET.2017.0612006
出版社：S&S Publications
摘要：For the Daubechies wavelet transforms, the scaling signals and wavelets have slightly longer supports,i.e., they produce averages and differences using just a few more values from the signal. This slight change, however,provides a tremendous improvement in the capabilities of these new transforms. They provide us with a set of powerfultools for performing basic signal processing tasks. These tasks include compression and noise removal for audio signalsand for images, and include image enhancement and signal recognitionEEG is used to measure the brain activity. Foranalyzing the EEG signal various transform methods are used here wavelet transform is used at various levels Accuracyof db10 is more than the other levels. The accuracy is 100 which is not practically possible. so calculate the entropy and energy ofthe signal before and after db10. By figure 13 we can say that accuracy decreases as we go below and after db 10.
关键词：Fringing Field; Etching Holes; Capacitance; COMSOL.