Introduction: Array Processing and Applications 
          Arrays and Spatial Filters: Uniform Linear Array, Array Steering, Array    Performance, Linear Aperture 
          Synthesis of Linear Arrays and Apertures: Spectral Weighting, Array    Polynomials, Minimum Beamwidth, Null Steering, Spatially Non-uniform Linear    Arrays, Broadband Arrays 
          Planar Arrays and Apertures: Rectangular Arrays, Circular Arrays,    Circular Apertures, Non-planar Arrays  
           
          Characterization of Space-time Processes: Snapshot Models, Space-time    Random Process  
          Optimum Waveform Estimation: Optimum Beamformers, MVDR and MPDR    Beamformers, LCMV and LCMP Beamformers, Eigenspace Beamformer, Beamspace    Beamformer, Broadband Beamformer 
           
          Adaptive Beamformers: Parametric Estimation, RLS, LMS, Gradient    Algorithms 
          Parameter Estimation and Direction of Arrival Estimation: Cramer-Rao    Bounds, Maximum Likelihood Estimation, Capon methods, Subspace methods -    MUSIC, Minimum-Norm and ESPRIT techniques. 
           
          Prerequisites: None 
           
          Text Books:          
          
        - Harry L. Van    Trees, Optimum Array Processing (Part    IV of Detection, Estimation, and Modulation Theory), Wiley-Interscience,    2002.
 
       
          Reference Books:
      
        - Dan E. Dugeon and Don H. Johnson. (1993). Array Signal Processing: Concepts and
 
       
      Techniques. Prentice    Hall. 
      
        - Petre Stoica    and Randolph L. Moses. (2005, 1997) Spectral    Analysis of Signals. Prentice Hall.
 
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