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Autor(en): 
  • Charles K. Chui
  • Qingtang Jiang
  • Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Oktober 2013  
    Genre:  Schulbücher 
     
    Applications of Mathematics / Applied mathematics / B / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Engineering Design / Engineering mathematics / Information and Communication, Circuits / Information theory / Mathematics and Statistics / Optical data processing / Probability & statistics / Statistics / Statistics, general / Technical design
    ISBN:  9789462390089 
    EAN-Code: 
    9789462390089 
    Verlag:  Atlantis Press 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #02 - Mathematics Textbooks for Science and Engineering  
    Dimensionen:  H 241 mm / B 160 mm / D 36 mm 
    Gewicht:  1021 gr 
    Seiten:  576 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This textbook, apart from introducing the basic aspects of applied mathematics, focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases, image manipulation, and image noise removal. The methods treated in more detail include spectral representation and ¿frequency¿ of the data, providing valuable information for, e.g. data compression and noise removal. Furthermore, a special emphasis is also put on the concept of ¿wavelets¿ in connection with the ¿multi-scale¿ structure of data-sets. The presentation of the book is elementary and easily accessible, requiring only some knowledge of elementary linear algebra and calculus. All important concepts are illustrated with examples, and each section contains between 10 an 25 exercises. A teaching guide, depending on the level and discipline of instructions is included for classroom teaching and self-study.

      
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