Results 271 to 280 of about 1,354,279 (305)
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Remarks on the mean square tracking error
International Journal of Adaptive Control and Signal Processing, 1991AbstractThe purpose of this paper is to extend recent results of Ljung and Priouret to a more general class of regressors.
Lennart Ljung, Pierre Priouret
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Biased Estimation in Regression: An Evaluation Using Mean Squared Error
, 1977A mean squared error criterion is used to compare five estimators of the coefficients in a linear regression model: least squares, principal components, ridge regression, latent root, and a shrunken estimator.
R. Gunst, R. L. Mason
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Minimum mean square error vector precoding
European Transactions on Telecommunications, 2006AbstractWe derive theminimum mean square error(MMSE) solution to vector precoding for frequency flat multiuser scenarios with a centralised multi‐antenna transmitter. The receivers employ a modulo operation, giving the transmitter the additional degree of freedom to choose aperturbation vector.
D.A. Schmidt +2 more
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, 1981
Given a realization of T consecutive observations of an autoregressive process, x, of unknown order m, a process of an arbitrary order p is assumed to be fitted for predicting the future values of another process [xtilde](t), where [xtilde](t) is ...
R. Bhansali
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Given a realization of T consecutive observations of an autoregressive process, x, of unknown order m, a process of an arbitrary order p is assumed to be fitted for predicting the future values of another process [xtilde](t), where [xtilde](t) is ...
R. Bhansali
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Mutual information and mean square error
Proceedings of 1995 IEEE International Symposium on Information Theory, 2002We derive some information theoretic inequalities in order to evaluate the channel capacity and mean square error. We prove an inequality for the capacity of an additive noise channel with feedback. We also prove an inequality for mutual information and mean square error. The inequality is applied to bound the minimum mean square transmission errors.
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Non-mean-square error criteria
IEEE Transactions on Information Theory, 1958While in the engineering literature non-mean-square error criteria for predictors are often presented as physically significant and then shunted aside because of mathematical unmanageability, it is shown here that ia the case of Gaussian processes all such criteria given ia three recent textbooks yield the same predictor as the linear minimum mean ...
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Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
IEEE Signal Processing Magazine, 2009Zhou Wang, A. Bovik
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Estimation of the minimum mean square error of prediction
Biometrika, 1975SUMMARY Bloomfield (1973) and Jones (1964) have discussed the estimation of the error of prediction of a time series. Their results use the asymptotic normality of their estimates and we attempt to examine the validity of this approximation in the simplest case.
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Encyclopedia of Machine Learning and Data Mining, 2017
R. Grafton +3 more
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R. Grafton +3 more
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Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error
IEEE transactions on circuits and systems for video technology (Print), 2017Sudeng Hu +5 more
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