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Minimum mean square error estimation for a class of chaotic systems
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002We develop the Bayesian maximum a posteriori (MAP) and minimum mean square error (MMSE) estimators for sequences generated by a class of discrete-time chaotic systems. This class (of which the sawtooth map, an archetype of chaotic behavior, is a member) consists of maps of the unit interval whose dynamics are precisely equivalent to the output of a ...
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Minimum mean squared error impulse noise estimation and cancellation
IEEE Transactions on Signal Processing, 1995Impulses are infrequent bursts of high amplitude noise. A wide-band communications or data acquisition receiver has a fast sampling rate, so it can capture many samples of each impulse waveform. The arrival of an impulse can be identified by its distinct waveform and amplitude.
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Strong Universal Consistent Estimate of the Minimum Mean Squared Error
2013Consider the regression problem with a response variable Y and a feature vector X. For the regression function m(x) = E{Y ∣X = x}, we introduce new and simple estimators of the minimum mean squared error Mean squared error—( Minimum mean squared error—( \({L}^{{\ast}} = \mathbf{E}\{{(Y - m(\mathbf{X}))}^{2}\}\), and prove their strong ...
Luc Devroye +3 more
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MINIMUM MEAN SQUARE ERROR UNBIASED ESTIMATION
Australian Journal of Statistics, 1974openaire +2 more sources
Minimum mean square error equalization on the 2-sphere
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014Parastoo Sadeghi +2 more
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Minimum mean-squared-error estimators for simulation experiments
Communications of the ACM, 1981James H. Donnelly, Robert E. Shannon
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Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985Y Ephraim
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The Stability of Adaptive Minimum Mean Square Error Equalizers Using Delayed Adjustment
IRE Transactions on Communications Systems, 1983P Kabal
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Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion
IEEE Transactions on Neural Networks, 2010Badong Chen, Jinchun Hu
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