Data Analysis Methods For Non-Gaussian, Nonstationary And Nonlinear Features And Their Application To Virgo N Arnaud , G Ballardin , F Beauville , F Bellachia , D Enard , G Ballardin , R Barill , F Barone , M Barsuglia , F Beauville , F Bellachia , M A Bizouard , C Boccara , D Boget , F Bondu , C Bourgoin , A Bozzi , S Braccini , C Bradaschia , A Brillet , V Brisson , L Brocco , D Buskulic , J Cachenaut , G Calamai , E Calloni , E Campagna , C Casciano , C Cattuto , F Cavalier , S Cavaliere , R Cavalieri , G Cella , E Chassande-Mottin , F Chollet , F Cleva , T Cokelaer , G Conforto , S Cortese , J P Coulon , E Cuoco , V Dattilo , P Y Dav d , M Davier , M De Rosa , R De Rosa , L Di Fiore , A Di Virgilio , B Dujardin , P Dominici , A Eleuteri , D Enard , G Evangelista , I Ferrante , F Fidecaro , I Fiori , R Flaminio , D Forest , J D Fournier , L Fournier , S Frasca , F Frasconi , L Gammaitoni , P Ganau , A Gennai , G Gennaro , L Giacobone , A Giazotto , G Giordano , C Girard , G Gougoulat , G M Guidi , H Heitmann , P Hello , R Hermel , P Heusse , L Holloway , F Honglie , M Iannarelli , L Journet , S Krecklbergh , B Lagrange , P La Penna , M Leliboux , B Lieunard , T Lomtadze , V Loriette , G Losurdo , M Loupias , J M Mackowski , E Majorana , C N Man , F Marchesoni , F Marion , F Martelli , A Masserot , L Massonnet , S Mataguez , F Menzinger , M Mazzoni , C Michel , L Milano , J L Montorio , F Moreau , J Moreau , N Morgado , F Mornet , B Mours , P Mugnier , F Nenci , J Pacheco , A Pai , C Palomba , F Paoletti , A Paoli , L Paoli , A Pasqualetti , R Passaquieti , D Passuello , M Perciballi , S Peruzzi , B Perniola , L Pinard , R Poggiani , P Popolizio , E Porter , S Puccinelli , M Punturo , P Puppo , K Qipiani , J Ramonet , P Rapagnani , V Reita , A Remillieux , F Ricci , F Richard , J P Roger , P Ruggi , G Russo , S Solimeno , R Stanga , R Taddei , J M Teuler , E Tournefier , F Travasso , H Trinquet , E Turri , M Varvella , D Verkindt , F Vetrano , O Veziant , A Vicer , S Vilalte , J Y Vinet , H Vocca , M Yvert , Z Zhang CLASSICAL AND QUANTUM GRAVITY（2003）
摘要
The commissioning of the VIRGO central interferometer occasioned the implementation and tests of various algorithms for the characterization of the non-Gaussianity, non-stationarity and non-linearity of the dark fringe data. This library of prototypes will serve as groundwork for the near commissioning of VIRGO (full scale). We make a summary of the activities on that subject including the description of the selected algorithms and some results obtained with the data of the engineering runs.
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