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Autor(en): 
  • K. J. Ray Liu
  • Haykin Simon
  • Handbook on Array Processing and Sensor Networks 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applications / computer science / Coverage / drahtlose kommunikation / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Environments / exhaustive
    ISBN:  9780470371763 
    EAN-Code: 
    9780470371763 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #01 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control  
    Dimensionen:  H 260 mm / B 185 mm / D 47 mm 
    Gewicht:  1710 gr 
    Seiten:  924 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks. Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.

      



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