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It is illustrated that Fourier transformation methods can be an essential companion to model\u2010fitting methods even for short data segments with underlying sharp spectral peaks. The best spectrum estimates can be obtained by taking advantage of the strengths of both types of methods. For example, it is shown that detection and estimation of the frequencies of spectral lines for short data segments can be best accomplished using certain parametric methods in conjunction with Fourier transformation methods to aid in model\u2010order selection and identification of spurious peaks in the parametric spectrum estimate, and that estimation of amplitude and phase for sine\u2010wave removal, given frequency estimates, and spectrum estimation after sine\u2010wave removal can often be best accomplished with Fourier transformation methods alone.<\/jats:p>","DOI":"10.1002\/ima.1850040205","type":"journal-article","created":{"date-parts":[[2007,3,5]],"date-time":"2007-03-05T22:27:32Z","timestamp":1173133652000},"page":"109-121","source":"Crossref","is-referenced-by-count":1,"title":["Experimental comparison of fourier transformation and model\u2010fitting methods of spectral analysis"],"prefix":"10.1002","volume":"4","author":[{"given":"William A.","family":"Gardner","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2005,10,20]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1981.12184"},{"key":"e_1_2_1_2_3","volume-title":"Modern Spectrum Analysis, II","author":"Kesler S. 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