rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Linear Algebra, Signal Processing, and Wavelets - A Unified Approach
    sub title: MATLAB Version
  name:
    name part: Ryan, Øyvind.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXVI, 360 pages 103 illustrations, 29 illustrations in color.)
  abstract: 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 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.
  table of contents: 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.
  note: by Øyvind Ryan.
  subject:
    topic: Algebras, Linear
  subject:
    topic: Computer mathematics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Fourier analysis
  subject:
    topic: Mathematical physics
  subject:
    topic: Linear Algebra
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Mathematical and Computational Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Fourier Analysis
  subject:
    topic: Mathematical Physics
  classification: QA184-205
  classification: 512.5
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Springer Undergraduate Texts in Mathematics and Technology
  identifier: 9783030018122
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 190305
    record change date: 20230330184812.8
    record identifier: in00004422011