Improved Nonlinear Filtering For Target Tracking - 8 Angebote vergleichen
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1
Symbolbild
Improved Nonlinear Filtering For Target Tracking (2008)
~EN NW RPISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, VDM Verlag, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
2
Improved Nonlinear Filtering For Target Tracking - Particle Filtering: Basics, Concepts and Improvements (2000)
~EN PB NWISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, VDM Verlag Dr. Möller E.K. Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Improved Nonlinear Filtering For Target Tracking: Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms. Englisch, Taschenbuch.
Improved Nonlinear Filtering For Target Tracking: Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms. Englisch, Taschenbuch.
3
Improved Nonlinear Filtering for Target Tracking (2000)
EN PB NWISBN: 9783639070101 bzw. 3639070100, in Englisch, VDM Verlag, Taschenbuch, neu.
Particle filtering is a new nonlinear state
estimation technique that aims to directly
approximate the posterior distribution of the
system. This technique was introduced to the
engineering community in the early years of 2000.
Since then it has drawn significant attentions due to
its accuracy, robustness and flexibility in various
nonlinear/non-Gaussian estimation applications, such
as target tracking, robot localization and mapping,
communications, sensor networks, computer vision and
others. Latest research has shown that particle
filter based algorithms can greatly improve the
estimations over conventional methods, such
as extended Kalman filter (EKF). This book
introduces the basic concept of particle filtering,
its advantages and limitations as well as various
methods to improve particle filters. The analysis
provided by this book should shed some light on how
to design advanced particle filter tracking
algorithms.
4
Improved Nonlinear Filtering For Target Tracking (2000)
EN PB NWISBN: 9783639070101 bzw. 3639070100, in Englisch, VDM Verlag Dr. Mueller e.K. Taschenbuch, neu.
Particle filtering is a new nonlinear state
estimation technique that aims to directly
approximate the posterior distribution of the
system. This technique was introduced to the
engineering community in the early years of 2000.
Since then it has drawn significant attentions due to
its accuracy, robustness and flexibility in various
nonlinear/non-Gaussian estimation applications, such
as target tracking, robot localization and mapping,
communications, sensor networks, computer vision and
others. Latest research has shown that particle
filter based algorithms can greatly improve the
estimations over conventional methods, such
as extended Kalman filter (EKF). This book
introduces the basic concept of particle filtering,
its advantages and limitations as well as various
methods to improve particle filters. The analysis
provided by this book should shed some light on how
to design advanced particle filter tracking
algorithms.
5
Improved Nonlinear Filtering For Target Tracking (2000)
~EN PB NWISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, 200 Seiten, VDM Verlag Dr. Müller e.K. Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Österreich.
Von Händler/Antiquariat, Rheinberg-Buch, [3813847].
Neuware - Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms. Taschenbuch, Neuware, 225x154x17 mm, 319g, 200, Internationaler Versand, PayPal, offene Rechnung, Banküberweisung, sofortueberweisung.de.
Von Händler/Antiquariat, Rheinberg-Buch, [3813847].
Neuware - Particle filtering is a new nonlinear state estimation technique that aims to directly approximate the posterior distribution of the system. This technique was introduced to the engineering community in the early years of 2000. Since then it has drawn significant attentions due to its accuracy, robustness and flexibility in various nonlinear/non-Gaussian estimation applications, such as target tracking, robot localization and mapping, communications, sensor networks, computer vision and others. Latest research has shown that particle filter based algorithms can greatly improve the estimations over conventional methods, such as extended Kalman filter (EKF). This book introduces the basic concept of particle filtering, its advantages and limitations as well as various methods to improve particle filters. The analysis provided by this book should shed some light on how to design advanced particle filter tracking algorithms. Taschenbuch, Neuware, 225x154x17 mm, 319g, 200, Internationaler Versand, PayPal, offene Rechnung, Banküberweisung, sofortueberweisung.de.
6
Symbolbild
Improved Nonlinear Filtering For Target Tracking (2008)
~EN PBISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, VDM Verlag Dr. Mueller e.K, Taschenbuch.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: AUT.
Von Händler/Antiquariat, Ergodebooks.
VDM Verlag Dr. Mueller e.K, 2008-08-27. Paperback. Used:Good.
Von Händler/Antiquariat, Ergodebooks.
VDM Verlag Dr. Mueller e.K, 2008-08-27. Paperback. Used:Good.
7
Improved Nonlinear Filtering For Target Tracking (2000)
~EN PB NWISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, VDM Verlag Dr. Müller / VDM Verlag Dr. Müller e.K. Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Improved Nonlinear Filtering For Target Tracking (2013)
~EN HC NW FE RPISBN: 9783639070101 bzw. 3639070100, vermutlich in Englisch, 200 Seiten, VDM Verlag Dr. Mueller VDM Verlag Dr. Mueller e.K. gebundenes Buch, neu, Erstausgabe, Nachdruck.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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