Feilner, ManuelaManuelaFeilnerTHIERRY BLUUnser, MichaelMichaelUnser2024-03-082024-03-082000-12-010277786Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/640688fMRI is a new and powerful technique for observing the activity of the brain while a subject is performing some cognitive or motor task. The original method in the case of non-stationary Gaussian noise by replacing the original z-test is improved by a t-test that takes into account the variability of each wavelet coefficient separately. Various brands of fractional spline wavelets which are indexed by a continuously-varying order parameter ∝ are considered. An extensive series of tests using simulated data are performed. It is observed that there is a strongly optimal value of α and a best number of scales that minimizes the error.Optimizing wavelets for the analysis of fMRI dataconference paper10.1117/12.4086522-s2.0-0034428760https://api.elsevier.com/content/abstract/scopus_id/0034428760