Alternative common bases and signal compression for wavelets application in chemometrics.

作者: Michele Forina , Paolo Oliveri , Monica Casale

DOI: 10.1007/S00216-010-4632-5

关键词:

摘要: Abstract Representation or compression of data sets in the wavelet space is usually performed to retain the maximum variance of the original or pretreated data, like in the compression …

参考文章(19)
K. I. Ramachandran, K P Soman, Insight into Wavelets: From Theory to Practice ,(2005)
Beata Walczak, Wavelets in chemistry. Elsevier. ,(2000)
Mladen Victor Wickerhauser, Adapted wavelet analysis from theory to software ,(1994)
B.R. Kowalski, C.F. Bender, An orthogonal feature selection method Pattern Recognition. ,vol. 8, pp. 1- 4 ,(1976) , 10.1016/0031-3203(76)90023-6
Alfred Haar, Zur Theorie der orthogonalen Funktionensysteme Mathematische Annalen. ,vol. 69, pp. 331- 371 ,(1910) , 10.1007/BF01456326
B. Walczak, D.L. Massart, Noise suppression and signal compression using the wavelet packet transform Chemometrics and Intelligent Laboratory Systems. ,vol. 36, pp. 81- 94 ,(1997) , 10.1016/S0169-7439(96)00077-9
Marina Cocchi, Maria Corbellini, Giorgia Foca, Mara Lucisano, M. Ambrogina Pagani, Lorenzo Tassi, Alessandro Ulrici, Classification of bread wheat flours in different quality categories by a wavelet-based feature selection/classification algorithm on NIR spectra Analytica Chimica Acta. ,vol. 544, pp. 100- 107 ,(2005) , 10.1016/J.ACA.2005.02.075
Michele Forina, Raffaella Boggia, Monica Casale, The information content of visible spectra of extra virgin olive oil in the characterization of its origin. Annali Di Chimica. ,vol. 97, pp. 615- 633 ,(2007) , 10.1002/ADIC.200790047
B. Walczak, D.L. Massart, Wavelet packet transform applied to a set of signals: A new approach to the best-basis selection Chemometrics and Intelligent Laboratory Systems. ,vol. 38, pp. 39- 50 ,(1997) , 10.1016/S0169-7439(97)00050-6
Marina Cocchi, Renato Seeber, Alessandro Ulrici, WPTER: wavelet packet transform for efficient pattern recognition of signals Chemometrics and Intelligent Laboratory Systems. ,vol. 57, pp. 97- 119 ,(2001) , 10.1016/S0169-7439(01)00125-3