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This 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.
Title: The Kalman Filter: Introduction
Publisher: Independently published
Publication Date: 2021
Binding: Soft cover
Condition: New
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 46589947-n
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 46589947
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 46589947-n
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand. Seller Inventory # I-9798775161026
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 46589947
Quantity: Over 20 available