LEADER 01205nam a2200325 i 4500 001 991000931989707536 005 20020507180110.0 008 951113s1979 uk ||| | eng 020 $a0273084224 035 $ab10777611-39ule_inst 035 $aLE01304508$9ExL 040 $aDip.to Matematica$beng 082 0 $a512.943 084 $aAMS 15A09 100 1 $aCampbell, Stephen La Vern$0471255 245 10$aGeneralized inverses of linear transformations /$cS. L. Campbell, C. D. Meyer 260 $aLondon :$bPitman Publishing,$c1979 300 $axi, 272 p. :$bill. ;$c25 cm. 490 0 $aSurveys and reference works in mathematics 500 $aBibliography. 500 $aIncludes index 650 4$aMatrix inversion 650 4$aTransformations 700 1 $aMeyer, Carl Dean$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0104578 907 $a.b10777611$b23-02-17$c28-06-02 912 $a991000931989707536 945 $aLE013 15-XX CAM11 (1979)$g1$i2013000039220$lle013$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i10876686$z28-06-02 996 $aGeneralized inverses of linear transformations$91424240 997 $aUNISALENTO 998 $ale013$b01-01-95$cm$da $e-$feng$guk $h0$i1 LEADER 04017nam 22006855 450 001 9910338253503321 005 20251113181658.0 010 $a3-030-02940-9 024 7 $a10.1007/978-3-030-02940-1 035 $a(CKB)4100000007761846 035 $a(DE-He213)978-3-030-02940-1 035 $a(MiAaPQ)EBC5918909 035 $a(PPN)23500474X 035 $a(EXLCZ)994100000007761846 100 $a20190226d2019 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 $ePython Version /$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 $aSpringer Undergraduate Texts in Mathematics and Technology,$x1867-5514 311 08$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,$x1867-5514 606 $aAlgebras, Linear 606 $aMathematics$xData processing 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aSignal processing 606 $aFourier analysis 606 $aLinear Algebra 606 $aComputational Science and Engineering 606 $aMathematical and Computational Engineering Applications 606 $aSignal, Speech and Image Processing 606 $aFourier Analysis 615 0$aAlgebras, Linear. 615 0$aMathematics$xData processing. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aSignal processing. 615 0$aFourier analysis. 615 14$aLinear Algebra. 615 24$aComputational Science and Engineering. 615 24$aMathematical and Computational Engineering Applications. 615 24$aSignal, Speech and Image Processing. 615 24$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