Sentence examples for mean square estimation from inspiring English sources

At each frame, his system uses pitch information and least mean square estimation to simultaneously estimate the amplitudes and phases of the harmonics of all instruments.

Results show that for experimental data, the root mean square estimation error of the estimates of the first two modes was within 6% of the desired values and for the next two modes was within 20% of the desired values.

The CRB is a lower bound (LB) on the mean square estimation error (MSEE) of an unbiased estimate and can thus be used to benchmark practical estimation algorithms.

The robust filtering problem is to find an estimator that minimizes the maximum mean square estimation error over the random parameter uncertainties and input and measurement noises.

The KF provides a general solution to the recursive minimized mean square estimation problem within the class of linear estimators [1, 25 27].

The performance of the channel estimator is analyzed in terms of the Mean Square Estimation Error (MSEE) and its impact on the uncoded Bit Error Rate (BER) of the MIMO-OFDM system is studied.

The cross-validation statistics investigated include mean squared estimation error (MSE), root mean squared estimation error (RMSE), mean absolute estimation error (MAE), mean of the root variance of the posterior PDFs (MR), the square of Pearson's correlation coefficient, and the square of Spearman's correlation coefficient.

The performance is measured using the root mean squared estimation error (RMSE) as defined in [28, 32, 26, 27].

We formulate a least mean squares estimation problem that involves a non-commutative system as the filter processing the non-commutative output signal.

Simulation results also demonstrated that the root mean squared estimation errors (RMSEEs) can be reduced by enlarging the bandwidth of a low-pass-filter (LPF) applied in the SC.

Comparison of estimated fluxes and mean-square estimation error using "noiseless" data.