Sparsity in the multivariate wavelet framework: a comparative study using epileptic electroencephalography data
Sparsity in the multivariate wavelet framework: a comparative study using epileptic electroencephalography data
- Author(s): A.J. Gibberd and J.D.B. Nelson
- DOI: 10.1049/cp.2015.1761
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- Author(s): A.J. Gibberd and J.D.B. Nelson Source: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP), 2015 page ()
- Conference: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)
- DOI: 10.1049/cp.2015.1761
- ISBN: 978-1-78561-136-0
- Location: London, UK
- Conference date: 1-2 Dec. 2015
- Format: PDF
Inspec keywords: medical signal processing; signal resolution; electroencephalography; principal component analysis; medical disorders; wavelet transforms
Subjects: Probability theory, stochastic processes, and statistics; Electrodiagnostics and other electrical measurement techniques; Digital signal processing; Signal processing and detection; Bioelectric signals; Other topics in statistics; Function theory, analysis; Integral transforms; Integral transforms; Biology and medical computing; Other topics in statistics