| 书目名称 | Poisson Point Processes | | 副标题 | Imaging, Tracking, a | | 编辑 | Roy L. Streit | | 视频video | | | 概述 | Offers an overview of non-homogeneous Poisson point processes.Covers applications ranging from emissions tomography to multi-target tracking.Discusses topics wihich competitive texts lack, such as int | | 图书封面 |  | | 描述 | "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 | | 出版日期 | Book 2010 | | 关键词 | Computer; Likelihood; Poisson point processes; computer science; emission tomography; multiple sensor tra | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6923-1 | | isbn_softcover | 978-1-4899-9449-3 | | isbn_ebook | 978-1-4419-6923-1 | | copyright | Springer Science + Business Media 2010 |
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发表于 2025-3-21 18:40:13
