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Autor(en): 
  • A. Jensen
  • Anders la Cour-Harbo
  • Ripples in Mathematics: The Discrete Wavelet Transform 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juni 2001  
    Genre:  Schulbücher 
     
    Algebra / Analysis / Analysis (Mathematics) / Applied mathematics / Artificial Intelligence / B / Calculus & mathematical analysis / Computational Intelligence / Computer Vision / engineering / Engineering mathematics / Image processing / Image Processing and Computer Vision / Linear Algebra / Linear and Multilinear Algebras, Matrix Theory / Mathematical analysis / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical Methods in Physics / Mathematical physics / Matrix theory / Optical data processing / Physics
    ISBN:  9783540416623 
    EAN-Code: 
    9783540416623 
    Verlag:  Springer Berlin Heidelberg 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 15 mm 
    Gewicht:  394 gr 
    Seiten:  256 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Yet another book on wavelets. There are many books on wavelets available, written for readers with different backgrounds. But the topic is becoming ever more important in mainstream signal processing, since the new JPEG2000 standard is based on wavelet techniques. Wavelet techniques are also impor­ tant in the MPEG-4 standard. So we thought that there might be room for yet another book on wavelets. This one is limited in scope, since it only covers the discrete wavelet trans­ form, which is central in modern digital signal processing. The presentation is based on the lifting technique discovered by W. Sweldens in 1994. Due to a result by I. Daubechies and W. Sweldens from 1996 this approach covers the same class of discrete wavelet transforms as the one based on two channel filter banks with perfect reconstruction. The goal of this book is to enable readers, with modest backgrounds in mathematics, signal analysis, and programming, to understand wavelet based techniques in signal analysis, and perhaps to enable them to apply such methods to real world problems. The book started as a set of lecture notes, written in Danish, for a group of teachers of signal analysis at Danish Engineering Colleges. The material has also been presented to groups of engineers working in industry, and used in mathematics courses at Aalborg University.
      



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