000 03346nam a22004935i 4500
001 978-1-4419-6923-1
003 DE-He213
005 20140220084511.0
007 cr nn 008mamaa
008 130531s2010 xxu| s |||| 0|eng d
020 _a9781441969231
_9978-1-4419-6923-1
024 7 _a10.1007/978-1-4419-6923-1
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aStreit, Roy L.
_eauthor.
245 1 0 _aPoisson Point Processes
_h[electronic resource] :
_bImaging, Tracking, and Sensing /
_cby Roy L. Streit.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2010.
300 _aXIV, 281p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aFundamentals -- 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.
520 _a"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.
650 0 _aEngineering.
650 0 _aComputer science.
650 0 _aDistribution (Probability theory).
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aProbability and Statistics in Computer Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441969224
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-6923-1
912 _aZDB-2-ENG
999 _c110706
_d110706