Academic Press Library in Signal Processing, Vol 3

  • ID: 2634432
  • Book
  • 1012 Pages
  • Elsevier Science and Technology
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This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and statistical signal processing.

With this reference source you will:

  • Quickly grasp a new area of research 
  • Understand the underlying principles of a topic and its application
  • Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved
  • Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing
  • Presents core principles and shows their application
  • Reference content on core principles, technologies, algorithms and applications
  • Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
  • Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

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Introduction to Statistical Signal Processing; Model Order Selection; Non-Stationary Signal Analysis Time-Frequency Approach; Bayesian Computational Methods in Signal Processing; Distributed Signal Detection; Quickest Change Detection; Geolocation-Maps, Measurements, Models, and Methods; Performance Analysis and Bounds; Diffusion Adaptation Over Networks; Array Signal Processing: Overview of the Included Chapters;  ntroduction to Array Processing; Adaptive and Robust Beamforming; Broadband Beamforming and Optimization; DOA Estimation Methods and Algorithms; Subspace Methods and Exploitation of Special Array Structures; Performance Bounds and Statistical Analysis of DOA Estimation; DOA Estimation of Nonstationary Signals; Source Localization and Tracking; Array Processing in the Face of Nonidealities; Applications of Array Signal Processing
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