Description
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
Table of Contents
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
