LEADER 03769nam  22007335  450 
001 9910300409203321
005 20200630090624.0
010   $a3-319-16985-8
024 7 $a10.1007/978-3-319-16985-9
035   $a(CKB)3710000000416801
035   $a(SSID)ssj0001501480
035   $a(PQKBManifestationID)11830600
035   $a(PQKBTitleCode)TC0001501480
035   $a(PQKBWorkID)11445844
035   $a(PQKB)10736074
035   $a(DE-He213)978-3-319-16985-9
035   $a(MiAaPQ)EBC6314818
035   $a(MiAaPQ)EBC5586512
035   $a(Au-PeEL)EBL5586512
035   $a(OCoLC)909363338
035   $a(PPN)186027567
035   $a(EXLCZ)993710000000416801
100   $a20150512d2015      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aFourier Transformation for Pedestrians /$fby Tilman Butz
205   $a2nd ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (XVIII, 242 p. 148 illus.) 
225 1 $aUndergraduate Lecture Notes in Physics,$x2192-4791
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-16984-X 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Fourier Series -- Continuous Fourier Transformation -- Window Functions -- Discrete Fourier Transformation -- Filter Effect in Digital Data Processing -- Data Streams and Fractional Delay -- Tomography: Back projection of Filtered Projections.
330   $aThis book is an introduction to Fourier Transformation with a focus on signal analysis, based on the first edition. It is well suited for undergraduate students in physics, mathematics, electronic engineering as well as for scientists in research and development. It gives illustrations and recommendations when using existing Fourier programs and thus helps to avoid frustrations. Moreover, it is entertaining and you will learn a lot unconsciously. Fourier series as well as continuous and discrete Fourier transformation are discussed with particular emphasis on window functions. Filter effects of digital data processing are illustrated. Two new chapters are devoted to modern applications. The first deals with data streams and fractional delays and the second with the back-projection of filtered projections in tomography. There are many figures and mostly easy to solve exercises with solutions.
410  0$aUndergraduate Lecture Notes in Physics,$x2192-4791
606   $aPhysics
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aMathematical physics
606   $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120
615  0$aPhysics.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aMathematical physics.
615 14$aMathematical Methods in Physics.
615 24$aSignal, Image and Speech Processing.
615 24$aMathematical Applications in the Physical Sciences.
676   $a515.723
700   $aButz$b Tilman$4aut$4http://id.loc.gov/vocabulary/relators/aut$0792295
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910300409203321
996   $aFourier Transformation for Pedestrians$91771579
997   $aUNINA