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000863528 020__ $$a9783030029401$$q(electronic book)
000863528 020__ $$a3030029409$$q(electronic book)
000863528 020__ $$z9783030029395
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000863528 035__ $$aSP(OCoLC)on1096461952
000863528 035__ $$aSP(OCoLC)1096461952$$z(OCoLC)1089013038$$z(OCoLC)1091240812$$z(OCoLC)1091272703
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000863528 1001_ $$aRyan, Øyvind.,$$eauthor
000863528 24510 $$aLinear algebra, signal processing, and wavelets - a unified approach :$$bpython version /$$cby Øyvind Ryan.
000863528 260__ $$aCham :$$bSpringer,$$c2019.
000863528 300__ $$a1 online resource
000863528 336__ $$atext$$btxt$$2rdacontent
000863528 337__ $$acomputer$$bc$$2rdamedia
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000863528 4901_ $$aSpringer Undergraduate Texts in Mathematics and Technology,$$x1867-5506
000863528 504__ $$aIncludes bibliographical references and index.
000863528 5050_ $$aSound and Fourier series -- Digital sound and discrete Fourier analysis -- Discrete time filters -- Motivation for wavelets and some simple examples -- The filter representation of wavelets -- Constructing interesting wavelets -- The polyphase representation of filter bank transforms -- Digital images -- Using tensor products to apply wavelets to images -- Appendix A:  Basic linear algebra.
000863528 506__ $$aAccess limited to authorized users.
000863528 520__ $$aThis book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
000863528 650_0 $$aAlgebras, Linear.
000863528 650_0 $$aWavelets (Mathematics)
000863528 650_0 $$aEngineering mathematics.
000863528 650_0 $$aFourier analysis.
000863528 77608 $$iPrint version:$$z3030029395$$z9783030029395$$w(OCoLC)1054370843
000863528 830_0 $$aSpringer undergraduate texts in mathematics and technology.
000863528 85280 $$bebk$$hSpringerLink
000863528 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-02940-1$$zOnline Access$$91397441.1
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000863528 980__ $$aEBOOK
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