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Herausgeber: 
  • Yingbo Hua
  • Cheng Qi
  • Gershman Alex
  • High-Resolution and Robust Signal Processing 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2003  
    Genre:  Naturwissensch., Medizin, Technik 
     
    advanced space-time radar processing / Array Manifold / Array Processing / Bilinear Decomposition / colored noise modeling / Communications engineering / telecommunications / Covariance Matrix / Diagonal Loading
    ISBN:  9780824747527 
    EAN-Code: 
    9780824747527 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Signal Processing and Communications  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  771 gr 
    Seiten:  480 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing. Chapter extras include theorem proofs, derivations, and computational shortcuts, as well as open problems, numerical measurement, and performance examples, and simulation results Sixteen illustrious field leaders invest High-Resolution and Robust Signal Processing with: in-depth reviews of parametric high-resolution estimation and detection techniques; robust array processing solutions for adaptive beam forming and high-resolution direction finding; Parafac techniques for high-resolution array processing and specific areas of application; high-resolution nonparametric methods and implementation tactics for spectral analysis; multidimensional high-resolution data models and discussion of R-D unitary ESPRIT with colored noise; multidimensional high-resolution parameter estimation techniques applicable to channel sounding; estimation procedures for high-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and sensory array design.

      



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