"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.
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