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Revisione ed approfondimento di argomenti vari...$fFrancesco Morra 210 $aMilano$cClup$d1975 215 $a522 p.$d24 cm 606 0 $aMatematica$2BNCF 676 $a510 700 1$aMORRA,$bFrancesco$028653 801 0$aIT$bsalbc$gISBD 912 $a990003219970203316 951 $a510 MOR$b10129/CBS$c510$d00216216 959 $aBK 969 $aSCI 979 $aRSIAV7$b90$c20090417$lUSA01$h1010 979 $aRSIAV7$b90$c20090417$lUSA01$h1011 996 $aBasi matematiche$91011310 997 $aUNISA LEADER 01288nam0-2200385li-450 001 990000165700203316 005 20180312154858.0 010 $a0-201-14410-7 035 $a0016570 035 $aUSA010016570 035 $a(ALEPH)000016570USA01 035 $a0016570 100 $a20001109d1989----km-y0itay0103----ba 101 0 $aeng 102 $aUS 200 1 $aObject-oriented concepts, databases, and applications$fedited by Won Kim, Frederick H. Lochovsky 210 $aNew York$cACM PRESS ; Reading (Mass) [etc.]$cAddison-Wesley$dcopyr.1989 215 $aXV, 602 p.$cill.$dcm 24 610 1 $aarchivi di dati$agestione 610 1 $aprogrammazione oggetto-orientata 676 $a00574$9Archivi di dati e basi di dati 702 1$aKim,$bWon 702 1$aLochovsky,$bFrederich H. 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000165700203316 951 $a005.74 OBJ$b0011638$c005.74$d00106531 959 $aBK 969 $aSCI 979 $c19900405 979 $c20001110$lUSA01$h1712 979 $aALANDI$b90$c20010327$lUSA01$h1152 979 $c20020403$lUSA01$h1624 979 $aPATRY$b90$c20040406$lUSA01$h1612 996 $aObject-oriented concepts, databases, and applications$91488575 997 $aUNISA LEADER 04044nam 22006614a 450 001 9910450703803321 005 20200520144314.0 010 $a1-281-89927-5 010 $a9786611899271 010 $a981-270-334-9 035 $a(CKB)1000000000334272 035 $a(EBL)296137 035 $a(OCoLC)476063596 035 $a(SSID)ssj0000171230 035 $a(PQKBManifestationID)11153615 035 $a(PQKBTitleCode)TC0000171230 035 $a(PQKBWorkID)10236135 035 $a(PQKB)11014367 035 $a(MiAaPQ)EBC296137 035 $a(WSP)00000237 035 $a(PPN)165172185 035 $a(Au-PeEL)EBL296137 035 $a(CaPaEBR)ebr10174095 035 $a(CaONFJC)MIL189927 035 $a(EXLCZ)991000000000334272 100 $a20050715d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHilbert-Huang transform and its applications$b[electronic resource] /$feditors, Norden E. Huang, Samuel S.P. Shen 210 $aSingapore ;$aHackensack, NJ ;$aLondon $cWorld Scientific$dc2005 215 $a1 online resource (324 p.) 225 1 $aInterdisciplinary mathematical sciences ;$vv. 5 300 $aDescription based upon print version of record. 311 $a981-256-376-8 320 $aIncludes bibliographical references and index. 327 $aPreface; CONTENTS; 1 Introduction to the Hilbert-Huang Transform and Its Related Mathematical Problems Norden E . Huang; 2 B-Spline Based Empirical Mode Decomposition Sherman Riemenschneider, Bao Liu, Yuesheng Xu and Norden E . Huang; 3 EMD Equivalent Filter Banks, from Interpretation to Applications Patrick Flandrin, Paulo Goncalves and Gabriel Rilling; 4 HHT Sifting and Filtering Reginald N . Meeson; 5 Statistical Significance Test of Intrinsic Mode Functions Zhaohua Wu and Norden E . Huang; 6 The Application of Hilbert-Huang Transforms to Meteorological Datasets Dean G . Duffy 327 $a7 Empirical Mode Decomposition and Climate Variability Katie Coughlin and Ka Kit Tung8 EMD Correction of Orbital Drift Artifacts in Satellite Data Stream Jorge E . Pinzdon, Molly E . Brown and Compton J . Tucker; 9 HHT Analysis of the Nonlinear and Non-Stationary Annual Cycle of Daily Surface Air Temperature Data Samuel S . P . Shen, Tingting Shu, Norden E . Huang, Zhaohua Wu, Gerald R . North, Thomas R . Karl; 10 Hilbert Spectra of Nonlinear Ocean Waves Paul A . Hwang, Norden E . Huang, David W . Wang, and Jame M . Kaihatu 327 $a11 EMD and Instantaneous Phase Detection of Structural Damage Liming W . Salvino. Darryll J . Pine, Michael Todd and Jonathan M . Nichols12 HHT-Based Bridge Structural Health-Monitoring Method Norden E . Huang, Kang Huang and Wei-Ling Chiang; 13 Applications of HHT in Image Analysis Steven R . Long; Index 330 $aThe Hilbert-Huang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the Wigner-Ville Distribution, HHT is truly a time-frequency analysis, but it does not require an a priori functional basis and, therefore, the convolution computation of frequency. The method provides a magnifying glass to examine the data, and also offers a different view of data from nonlinear processes, with the results no longer shackled by spurious harmonics - the artif 410 0$aInterdisciplinary mathematical sciences ;$vv. 5. 606 $aHilbert-Huang transform 606 $aDecomposition (Mathematics) 608 $aElectronic books. 615 0$aHilbert-Huang transform. 615 0$aDecomposition (Mathematics) 676 $a515/.723 701 $aHuang$b N. E$g(Norden Eh),$f1937-$0930660 701 $aShen$b Samuel S$0930661 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450703803321 996 $aHilbert-Huang transform and its applications$92093387 997 $aUNINA