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010   $a3-030-02940-9
024 7 $a10.1007/978-3-030-02940-1
035   $a(CKB)4100000007761846
035   $a(DE-He213)978-3-030-02940-1
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035   $a(PPN)23500474X
035   $a(EXLCZ)994100000007761846
100   $a20190226d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aLinear Algebra, Signal Processing, and Wavelets - A Unified Approach $ePython Version /$fby Øyvind Ryan
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XXVII, 364 p. 103 illus., 29 illus. in color.) 
225 1 $aSpringer Undergraduate Texts in Mathematics and Technology,$x1867-5506
311   $a3-030-02939-5 
327   $a1. Sound and Fourier series -- 2. Digital Sound and Discrete Fourier Analysis -- 3. Discrete Time Filters -- 4. Motivation for Wavelets and Some Simple Examples -- 5. The Filter Representation of Wavelets -- 6. Constructing Interesting Wavelets -- 7. The Polyphase Representation of Filter Bank Transforms -- 8. Digital Images -- 9. Using Tensor Products to Apply Wavelets to Images -- A Basic Linear Algebra.
330   $aThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
410  0$aSpringer Undergraduate Texts in Mathematics and Technology,$x1867-5506
606   $aAlgebras, Linear
606   $aComputer mathematics
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aFourier analysis
606   $aLinear Algebra$3https://scigraph.springernature.com/ontologies/product-market-codes/M11100
606   $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aFourier Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12058
615  0$aAlgebras, Linear.
615  0$aComputer mathematics.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aFourier analysis.
615 14$aLinear Algebra.
615 24$aComputational Science and Engineering.
615 24$aMathematical and Computational Engineering.
615 24$aSignal, Image and Speech Processing.
615 24$aFourier Analysis.
676   $a512.5
700   $aRyan$b Øyvind$4aut$4http://id.loc.gov/vocabulary/relators/aut$0781364
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910338253503321
996   $aLinear Algebra, Signal Processing, and Wavelets - A Unified Approach$91732543
997   $aUNINA