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This title in other editions

Poisson Point Processes: Imaging, Tracking, and Sensing

by

Poisson Point Processes: Imaging, Tracking, and Sensing Cover

 

Synopses & Reviews

Publisher Comments:

"Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the basic properties of finite random sets is included. Maximum likelihood estimation techniques are discussed for several parametric forms of the intensity function, including Gaussian sums, together with their Cramer-Rao bounds. These methods are then used to investigate: -Several medical imaging techniques, including positron emission tomography (PET), single photon emission computed tomography (SPECT), and transmission tomography (CT scans) -Various multi-target and multi-sensor tracking applications, -Practical applications in areas like distributed sensing and detection, -Related finite point processes such as marked processes, hard core processes, cluster processes, and doubly stochastic processes, Perfect for researchers, engineers and graduate students working in electrical engineering and computer science, Poisson Point Processes will prove to be an extremely valuable volume for those seeking insight into the nature of these processes and their diverse applications.

Synopsis:

This overview of non-homogeneous and multidimensional Poisson point processes and their applications features mathematical tools and applications from emission- and transmission-computed tomography to multiple target tracking and distributed sensor detection.

Table of Contents

Introduction.- Background.- Intensity estimation.- Beyond the Poisson point process.- Applications: multiple target tracking.- Applications: multiple sensor tracking.- Applications: distributed sensor networks.

Product Details

ISBN:
9781441969224
Author:
Streit, Roy L.
Publisher:
Springer
Subject:
Computer Science
Subject:
Probability & Statistics - General
Subject:
Personal Computers-General
Subject:
Electronics - General
Subject:
Poisson point processes
Subject:
emission tomography
Subject:
multiple sensor tracking
Subject:
multiple target tracking
Subject:
nonlinear transformation
Subject:
stochastic transformation
Subject:
Signal, Image and Speech Processing
Subject:
Probability Theory and Stochastic Processes
Subject:
Probability and Statistics in Computer Science
Copyright:
Edition Description:
2010
Publication Date:
20100923
Binding:
HARDCOVER
Language:
English
Pages:
295
Dimensions:
235 x 155 mm 1280 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Networking » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Electricity » General Electronics
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Mathematics » Software

Poisson Point Processes: Imaging, Tracking, and Sensing New Hardcover
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Product details 295 pages Springer - English 9781441969224 Reviews:
"Synopsis" by , This overview of non-homogeneous and multidimensional Poisson point processes and their applications features mathematical tools and applications from emission- and transmission-computed tomography to multiple target tracking and distributed sensor detection.
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