An in-depth account of the wavelet regularization mechanisms acting in this method of continuous relaxation spectrum recovery is given. It is shown that that scaling parameter of the wavelets controls the resolution of the spectrum, whilst the number of basis functions controls the sparsity of the approximation.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:584847 |
Date | January 2010 |
Creators | Goulding, Neil J. |
Publisher | Cardiff University |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Source | http://orca.cf.ac.uk/54239/ |
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