Academic Press Library in Signal Processing: Array and Statistical Signal Processing

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 applicationAscertain 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 processingPresents core principles and shows their applicationReference content on core principles, technologies, algorithms and applicationsComprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledgeEdited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

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