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OverviewThis introduction to the Kalman filter reviews linear systems, probability, random processes, estimation, digital filters, and Markov processes. This sets the context for the derivation of the scalar and vector Kalman filter. Examples, coded in the C language, are presented and discussed. Full Product DetailsAuthor: Andrew MacLeanPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.259kg ISBN: 9798775161026Pages: 188 Publication Date: 30 November 2021 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |