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The frequency-domain methods have the \nadvantage of allowing components of the data to be separated along sharp \ndividing lines in the frequency domain, without incurring any leakage. The \npaper contains a novel treatment of the start-up problem that affects the \nfiltering of trended data sequences.<\/jats:p>","DOI":"10.1017\/s026646660707003x","type":"journal-article","created":{"date-parts":[[2008,4,21]],"date-time":"2008-04-21T11:26:07Z","timestamp":1208777167000},"page":"71-88","source":"Crossref","is-referenced-by-count":14,"title":["WIENER\u2013KOLMOGOROV FILTERING, FREQUENCY-SELECTIVE FILTERING, \nAND POLYNOMIAL REGRESSION"],"prefix":"10.1017","volume":"23","author":[{"given":"D.S.G.","family":"Pollock","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2006,12,6]]},"reference":[{"key":"S026646660707003X_ref011","unstructured":"Whittle, P. 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