Kalman Filter and its Applications: The study of the application of Kalman Filters in various fields of Digital Signal Processing - Couverture souple

Tandon, Charvi; Khursheed, Amal; Gupta, Nidhi

 
9783838398273: Kalman Filter and its Applications: The study of the application of Kalman Filters in various fields of Digital Signal Processing
Couverture souple
ISBN 10 : 3838398270 ISBN 13 : 9783838398273
Editeur : LAP LAMBERT Academic Publishing, 2010

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838398270
ISBN 13 
9783838398273
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
Personne responsable
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