LEADER 04784nam 22007935 450 001 9910338253603321 005 20200705041537.0 010 $a3-030-01812-1 024 7 $a10.1007/978-3-030-01812-2 035 $a(CKB)4100000007761845 035 $a(DE-He213)978-3-030-01812-2 035 $a(MiAaPQ)EBC5926237 035 $a(PPN)235232467 035 $a(EXLCZ)994100000007761845 100 $a20190305d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLinear Algebra, Signal Processing, and Wavelets - A Unified Approach $eMATLAB Version /$fby Øyvind Ryan 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXVI, 360 p. 103 illus., 29 illus. in color.) 225 1 $aSpringer Undergraduate Texts in Mathematics and Technology,$x1867-5506 311 $a3-030-01811-3 320 $aIncludes bibliographical references and index. 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 $aThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature. 410 0$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 $aMathematical physics 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 606 $aMathematical Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/M35000 615 0$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$aFourier analysis. 615 0$aMathematical physics. 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$aFourier Analysis. 615 24$aMathematical Physics. 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 $a9910338253603321 996 $aLinear Algebra, Signal Processing, and Wavelets - A Unified Approach$91732543 997 $aUNINA