In this paper, a Hilbert transform algorithm is developed based on an analysing wavelet. It has a nice feature that one level of combination wavelet forms an orthogonal filter. As a result, a perfect orthogonality and constant passband are obtained. Meanwhile it solves the problem of selectivity for
A Wavelet Packet-Based Algorithm for the Extraction of Neural Rhythms
β Scribed by Osbert C. Zalay; Eunji E. Kang; Marija Cotic; Peter L. Carlen; Berj L. Bardakjian
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 1007 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0090-6964
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