Results 141 to 150 of about 192,666 (197)

Emotional factors in forgetting

Psychological Medicine, 1990
SynopsisLevinger & Clarke (1961) found that subjects tended to forget more word associations to emotional rather than neutral words. Kline (1981) regarded this study as providing “irrefutable evidence for the Freudian concept of repression”. On the other hand, results from Kleinsmith & Kaplan (1964) suggested that this effect may reverse after ...
B P, Bradley, A D, Baddeley
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Matrix forgetting factor with adaptation

International Journal of Systems Science, 1999
We suggest an approach to provide time-varying parameter estimates in ARMA (Auto Regression Moving Average) models of a stochastic nature based on the use of the recursive version of the Instrumental Variable Method (IVM) with a Matrix Forgetting Factor (MFF).
A. S. Poznyak, J. J. Medel Juarez
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Matrix forgetting factor

International Journal of Systems Science, 1999
This study suggests a new approach to provide time-varying parameter estimates in ARMA (Auto Regression Moving Average) models of stochastic nature based on the use of the recursive version of Instrumental Variable Method (IVM) with a Matrix Forgetting Factor (MFF).
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A novel adaptive variable forgetting factor RLS algorithm

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
As the demand for higher data rates increases steadily, there will always be a need to develop more efficient wireless communication systems. Adaptive channel equalizers need to be used to correct the disturbing effects of the channel resulting from the time-varying mobile communication channel.
Maraş, Meryem, Ayvaz, Elif Nur, Özen, Ali   +2 more
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A data-driven forgetting factor for stabilized forgetting in approximate Bayesian filtering

2015 26th Irish Signals and Systems Conference (ISSC), 2015
The main focus of this paper is to extend Bayesian filtering to allow for time-variant parameters in the transition kernels. Since a finite-dimensional exact solution is not available, we adopt stabilized forgetting in order to restore a recursive signal processing algorithm in this case, involving the processing of fixed, finite-dimensional statistics.
S. Azizi, A. Quinn
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An RLS algorithm with evolving forgetting factor

2015 Seventh International Workshop on Signal Design and its Applications in Communications (IWSDA), 2015
This paper presents a novel recursive least squares (RLS) algorithm which automatically determines its forgetting factor by an evolutionary method. The evolutionary method increases or decreases the forgetting factor by comparing the output error with a threshold.
Sheng Zhang, Jiashu Zhang
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Adaptive Control with Forgetting Factor

IFAC Proceedings Volumes, 1981
Abstract This paper considers a discrete time adaptive control algorithm with forgetting factor applicable to minimum phase plants. The tracking and regulation objectives are independently specified. The relevance of the eigenvalues of the gain matrix (Fk) used in the up-dating equation for the adaptive parameters ( p ^ ( k ) ) is ...
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Gradient based variable forgetting factor RLS algorithm

Signal Processing, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. So, C., Ng, S. C., Leung, S. H.
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Optimal Selected Forgetting Factor for RLS Estimation

IFAC Proceedings Volumes, 1993
Abstract A new robust recursive least squares (RLS) algorithm of which an optimally varied forgetting factor is derived for parameter identification in a noisy environment. The concerned forgetting factor can now be updated recursively. It is a function of system noise variances and the derivation is based on the concept of nonlinear filtering using ...
W.K. Yung, K.F. Man
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Variable Forgetting Factors in Parameter Estimation

IFAC Proceedings Volumes, 1982
Abstract This paper is concerned with the influence of forgetting factors on the consistency of prediction error methods of identification. Based on the work of Ljung, a martingale approach is employed and it is shown that the incorporation of forgetting factors into standard on-line estimation algorithms can lead to a loss of system and parameter ...
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