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Digital Kalman filter

S.M. Bozic, Digital and Kalman Filtering. Arnold, London, 1979. [Pg.260]

This fast and effective digital algorithm is based on a linear stochastic model that is equivalent to Eq. (1). The theoretical background is beyond the scope of the present article unfortunately, some knowledge of the basic Kalman filtering theory [5,7] is necessary for an adequate algorithm adjustment. The adjustment requires estimating the variances of the measurement noise and of the expected solution. [Pg.205]

To learn about digital filters, such as the nonrecursive moving-average and polynomial filters, as well as the recursive Kalman filter... [Pg.55]

The Intel 8251, a Multibus example, a protocol adapter example, a block transfer example, a fifth-order digital elliptic wave filter example, a Kalman filter example, the BTL310, an ADPCM, the Risc-1, the MCS6502, and the IBM System/370. [Pg.71]

The Intel 8251, the MCS6502, the FRISC microprocessor, a Kalman filter example, a fifth-order digital elliptic filter... [Pg.95]

Van Veen and De Loos-Vollebregt reviewed various chemometric procedures which had been developed during the last decade for ICP-OES analysis. In these procedures, data reduction by techniques such as digital filtering, numerical derivatives, Fourier transforms, correlation methods, expert systems, fuzzy logic, neural networks, PCA, PLS, projection methods, Kalman filtering, MLR and generalised standard additions were discussed. [Pg.400]


See other pages where Digital Kalman filter is mentioned: [Pg.272]    [Pg.333]    [Pg.86]    [Pg.87]    [Pg.209]    [Pg.242]    [Pg.253]    [Pg.96]   
See also in sourсe #XX -- [ Pg.62 , Pg.63 ]




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