01094cam0 22003131 450 SOBE0006572520231207104040.0978883460214020210308d2020 |||||ita|0103 baitaITCapitale e ideologiaThomas Pikettytraduzione di Lorenzo Matteoli e Andrea TerranovaMilanoLa nave di Teseo20201184 p.23 cm<I >fari73001SOBE000616402001 I *fari73Capital et idéologieSOBA000208541665015Piketty, ThomasSOBA00019472070148972Matteoli, Lorenzo <1937->SOBA00020852070Terranova, AndreaSOBA00020853070ITUNISOB20231207RICAUNISOBUNISOB320174402SOBE00065725M 102 Monografia moderna SBNM320002662SI17440220210303acquistoVmenleUNISOBUNISOB20210308113837.020231207104040.0bethbCapital et idéologie1665015UNISOB04017nam 22006855 450 991033825350332120251113181658.03-030-02940-910.1007/978-3-030-02940-1(CKB)4100000007761846(DE-He213)978-3-030-02940-1(MiAaPQ)EBC5918909(PPN)23500474X(EXLCZ)99410000000776184620190226d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierLinear Algebra, Signal Processing, and Wavelets - A Unified Approach Python Version /by Øyvind Ryan1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XXVII, 364 p. 103 illus., 29 illus. in color.) Springer Undergraduate Texts in Mathematics and Technology,1867-55143-030-02939-5 1. 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.This 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.Springer Undergraduate Texts in Mathematics and Technology,1867-5514Algebras, LinearMathematicsData processingEngineering mathematicsEngineeringData processingSignal processingFourier analysisLinear AlgebraComputational Science and EngineeringMathematical and Computational Engineering ApplicationsSignal, Speech and Image ProcessingFourier AnalysisAlgebras, Linear.MathematicsData processing.Engineering mathematics.EngineeringData processing.Signal processing.Fourier analysis.Linear Algebra.Computational Science and Engineering.Mathematical and Computational Engineering Applications.Signal, Speech and Image Processing.Fourier Analysis.512.5Ryan Øyvindauthttp://id.loc.gov/vocabulary/relators/aut781364MiAaPQMiAaPQMiAaPQBOOK9910338253503321Linear Algebra, Signal Processing, and Wavelets - A Unified Approach1732543UNINA