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  • 1
    Online Resource
    Online Resource
    New York :Wiley,
    UID:
    almafu_9959328179502883
    Format: 1 online resource (xxii, 477 pages) : , illustrations
    Edition: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 0471184071 , 9780471184072 , 0471224197 , 9780471224198 , 1280556382 , 9781280556388 , 9786610556380 , 6610556385 , 0470305282 , 9780470305287
    Note: G-h and g-h-k filters -- Kalman filter -- Practical issues for radar tracking -- Least-squares and minimum-variance estimates for linear time-invariant systems -- Fixed-memory polynomial filter -- Expanding-memory (growing-memory) polynomial filters -- Fading-memory (discounted least-squares) filter -- General form for linear time-invariant system -- General recursive minimum-variance growing-memory filter (Bayes and Kalman filters without target process noise) -- Voltage least-squares algorithms revisited -- Givens orthonormal transformation -- Householder orthonormal transformation -- Gram-Schmidt orthonormal transformation -- More on voltage-processing techniques -- Linear time-variant system -- Nonlinear observation scheme and dynamic model (extended Kalman filter) -- Bayes algorithm with iterative differential correction for nonlinear systems -- Kalman filter revisited. , Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. , English.
    Additional Edition: Print version: Brookner, Eli, 1931- Tracking and Kalman filtering made easy. New York : Wiley, ©1998 ISBN 0471184071
    Language: English
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