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Autor(en): 
  • Swanson David C.
  • Signal Processing for Intelligent Sensor Systems with MATLAB® 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2017  
    Genre:  Naturwissensch., Medizin, Technik 
     
    adaptive beamforming / Adaptive Filter / Beam Pattern / Beam Response / CFaR / CFAR Detection / Communications engineering / telecommunications / COMPUTERS / General
    ISBN:  9781138075450 
    EAN-Code: 
    9781138075450 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Gewicht:  526 gr 
    Seiten:  683 
    Illustration:  schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications.

    Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use.

    New for the Second Edition:

    • Inclusion of more solved problems
    • Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book
    • Additional coverage of more audio engineering, transducers, and sensor networking technology
    • A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems
    • New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control

    Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.

      



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