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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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.
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.
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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783838398273
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Da: moluna, Greven, Germania
Condizione: 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. Codice articolo 5420040
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Codice articolo 9783838398273
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783838398273
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Kalman Filter and its Applications | The study of the application of Kalman Filters in various fields of Digital Signal Processing | Charvi Tandon (u. a.) | Taschenbuch | 64 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838398273 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 107289989
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Da: Mispah books, Redhill, SURRE, Regno Unito
Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79038383982706
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