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Variable forgetting factors in Kalman filtering
1994Kodak Signature Color Proofing System is a machine that tests the color texture of a picture for separation of its components into magenta, cian, yellow and black. Actually the first three determine the color and the black component determines the brightness.
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Selecting the forgetting factor in subset autoregressive modelling
Journal of Time Series Analysis, 2002Abstract. Conventional methods to determine the forgetting factors in autoregressive (AR) models are mostly based on arbitrary or personal choices. In this paper, we present two procedures which can be used to select the forgetting factor in subset AR modelling. The first procedure uses the bootstrap to determine the value of a fixed forgetting factor.
Brailsford, Timothy J. +2 more
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Online estimation of complexity using variable forgetting factor
SICE Annual Conference 2007, 2007Recently, the utility of sample entropy (SampEn) as a complexity measure was shown via applying to time series data generated from in a variety of systems. However, online estimation method of SampEn index has not been developed yet. If SampEn can be estimated online, we can apply this index to time-varying system.
null Koichi Sugisaki +1 more
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Bus Travel-Time Prediction with a Forgetting Factor
Journal of Computing in Civil Engineering, 2014AbstractBus travel-time prediction has drawn a lot of research interests in previous literature.
Bin Yu +4 more
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Tuning the forgetting factor in RLS identification algorithms
[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 2002An upper bound for the parameter tracking error of RLS (recursive least squares) identification algorithms with forgetting factor (FF) is worked out in a fully stochastic framework. By minimizing such a bound, the selection of a suitable value for the FF can be performed. >
S. Bittanti, M. Campi
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Adaptive Control and Estimation with Forgetting Factors
IFAC Proceedings Volumes, 1985Abstract The paper contains an investigation of the least squares estimator with fixed and variable forgetting factors. Stability and asymptotic time average results are presented for linear systems with fixed parameters and stochastic disturbances. Some preliminary results are also presented for time varying systems.
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Variable forgetting factor estimation in impulsive noise environment
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014In this paper, a new robust adaptive FIR filter algorithm with variable forgetting factor for time-varying parameters estimation in the presence of impulsive noise is discussed. The proposed algorithm is based on the robust recursive least square and extended prediction error variable forgetting factor adaptation algorithms.
Z. Banjac +2 more
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Fuzzy forgetting factor for system identification
2005no ...
Lafont, Frédéric +2 more
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Competition in the two-factor theory of forgetting
Journal of Verbal Learning and Verbal Behavior, 1968Two experiments compared the amounts of retroactive inhibition (RI) obtained with paced and unpaced recall procedures. Support for the response-competition hypothesis was limited. It was suggested that the impact of competition upon recall may be small and that phenomena heretofore attributed solely to the effects of competition may be at least ...
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Interpretive factors in forgetting.
Journal of Experimental Psychology: Human Learning and Memory, 1975Lynn Hasher, Marcia K. Johnson
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