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010   $a9786612194412
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024 7 $a10.1515/9783110198188
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035   $a(EBL)325659
035   $a(OCoLC)191926230
035   $a(SSID)ssj0000269443
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035   $a(OCoLC)979583287
035   $a(DE-B1597)9783110198188
035   $a(PPN)175603650
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100   $a20040223d2004      uy             0
101 0 $aeng
135   $aurun#---|u||u
181   $ctxt
182   $cc
183   $acr
200 10$aWavelets in geodesy and geodynamics$b[electronic resource] /$fWolfgang Keller
210   $aBerlin ;$aw York $cWalter de Gruyter$dc2004
215   $a1 online resource (292 p.)
300   $aDescription based upon print version of record.
311 0 $a3-11-017546-0 
320   $aIncludes bibliographical references (p. [269]-276) and index.
327   $tFront matter --$tContents --$t1. Fourier analysis and filtering --$t2. Wavelets --$t3. Applications --$tA. Hilbert spaces --$tB. Distributions --$tBack matter
330   $aFor many years, digital signal processing has been governed by the theory of Fourier transform and its numerical implementation. The main disadvantage of Fourier theory is the underlying assumption that the signals have time-wise or space-wise invariant statistical properties. In many applications the deviation from a stationary behavior is precisely the information to be extracted from the signals. Wavelets were developed to serve the purpose of analysing such instationary signals. The book gives an introduction to wavelet theory both in the continuous and the discrete case. After developing
606   $aWavelets (Mathematics)
606   $aGeology$xMathematics
608   $aElectronic books.
615  0$aWavelets (Mathematics)
615  0$aGeology$xMathematics.
676   $a551/.01/15152433
686   $aZI 9075$2rvk
700   $aKeller$b Wolfgang$0375429
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910451759203321
996   $aWavelets in geodesy and geodynamics$92485106
997   $aUNINA