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Kalman Filter and its Applications: The study of the application of Kalman Filters in various fields of Digital Signal Processing - Softcover
Synopsis
The Kalman filter is a set of mathematical equations that provides an efficient computational means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modelled system is unknown. It has several applications such as Noise Cancellation, Tracking, System Identification etc. This book illustrates the use of Kalman filter to remove noise from an erroneous signal. It also defines how Kalman Filter can be used to estimate position and velocity of a moving object. Kalman Filter can also predict position of the object in advance. System Identification is one of the most interesting applications of Kalman Filter. Based on the error signal, the filter's coefficients are updated and corrected, in order to adapt, so the output signal has the same values as the reference signal. The application enables remarkable developments and research, creating an opportunity for automation and prediction.
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About the Author
Charvi Tandon: Completed Engineering from IGIT, Delhi. Management student at IIM Bangalore. Amal Khursheed: Completed Engineering from IGIT, Delhi. Software Engineer at Aricent, Gurgaon. Nidhi Gupta: Completed Engineering from IGIT, Delhi. Trainee at Hughes Systique, Gurgaon.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2010
- ISBN 10 3838398270
- ISBN 13 9783838398273
- BindingPaperback
- LanguageEnglish
- Number of pages64
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Kalman Filter and its Applications
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LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838398270
ISBN 13: 9783838398273
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Kalman filter is a set of mathematical equations that provides an efficient computational means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modelled system is unknown. It has several applications such as Noise Cancellation, Tracking, System Identification etc. This book illustrates the use of Kalman filter to remove noise from an erroneous signal. It also defines how Kalman Filter can be used to estimate position and velocity of a moving object. Kalman Filter can also predict position of the object in advance. System Identification is one of the most interesting applications of Kalman Filter. Based on the error signal, the filter's coefficients are updated and corrected, in order to adapt, so the output signal has the same values as the reference signal. The application enables remarkable developments and research, creating an opportunity for automation and prediction. 64 pp. Englisch. Seller Inventory # 9783838398273
Quantity: 2 available
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Kalman Filter and its Applications : The study of the application of Kalman Filters in various fields of Digital Signal Processing
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838398270
ISBN 13: 9783838398273
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Kalman filter is a set of mathematical equations that provides an efficient computational means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modelled system is unknown. It has several applications such as Noise Cancellation, Tracking, System Identification etc. This book illustrates the use of Kalman filter to remove noise from an erroneous signal. It also defines how Kalman Filter can be used to estimate position and velocity of a moving object. Kalman Filter can also predict position of the object in advance. System Identification is one of the most interesting applications of Kalman Filter. Based on the error signal, the filter's coefficients are updated and corrected, in order to adapt, so the output signal has the same values as the reference signal. The application enables remarkable developments and research, creating an opportunity for automation and prediction. Seller Inventory # 9783838398273
Quantity: 1 available
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Kalman Filter and its Applications
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838398270
ISBN 13: 9783838398273
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tandon CharviCharvi Tandon: Completed Engineering from IGIT, Delhi. Management student at IIM Bangalore. Amal Khursheed: Completed Engineering from IGIT, Delhi. Software Engineer at Aricent, Gurgaon. Nidhi Gupta: Completed Engineer. Seller Inventory # 5420040
Quantity: Over 20 available