rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Poisson Point Processes
    sub title: Imaging, Tracking, and Sensing
  name:
    name part: Streit, Roy L.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 273 p. online resource.
  abstract: "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.
  table of contents: Fundamentals -- Fundamentals -- The Poisson Point Process -- Intensity Estimation -- Cramér-Rao Bound (CRB) for Intensity Estimates -- Applications to Imaging, Tracking, and Distributed Sensing -- Tomographic Imaging -- Multiple Target Tracking -- Distributed Sensing -- Beyond the Poisson Point Process -- A Profusion of Point Processes -- The Cutting Room Floor.
  note: by Roy L. Streit.
  subject:
    topic: Engineering
  subject:
    topic: Mathematical statistics
  subject:
    topic: Probabilities
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Probability and Statistics in Computer Science
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441969231
  identifier: http://dx.doi.org/10.1007/978-1-4419-6923-1
  record info:
    record creation date: 130531
    record change date: 20151125201042.0
    record identifier: 978-1-4419-6923-1