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Autor(en): 
  • Paulo S. R. Diniz
  • Adaptive Filtering: Algorithms and Practical Implementation 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automatic control engineering / B / Circuits and Systems / Communications engineering / telecommunications / Communications Engineering, Networks / Control and Systems Theory / Control engineering / Digital and Analog Signal Processing / Electrical Engineering / Electronic circuits / Electronic Circuits and Systems / Electronics# circuits & components / engineering / Image processing / Signal Processing / Signal, Image and Speech Processing / Speech processing systems
    ISBN:  9783030290566 
    EAN-Code: 
    9783030290566 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 279 mm / B 210 mm / D  
    Gewicht:  1572 gr 
    Seiten:  495 
    Illustration:  XVIII, 495 p. 232 illus., 23 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter 'Kalman Filtering' is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithmsfor practicing engineers.
      
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