square error

Simulation results show that the mean square error (MSE) of the proposed method is about one tenth of that of the LS method.

A new equalization algorithm was proposed which had an algorithm transition under a mean square error (MSE) rule.

Both channel and echo response can be shortened at random with a single FIR equalizer by following the minimum mean square error rule.

The missing detect rate, false detect rate, correlation coefficient, and root mean square error are used to evaluate the algorithm.

And then, the corner feature points Abstracted were matched fast on the basis of square error of the gray value.

Meanwhile, this paper quantitatively evaluates the design method using ISE (integral of square error) performance criterion.

the exact upper bound and lower bound of mean square error are obtained for the two FFT algorithms of fixed point and block floating point.

The set of parameters with the minimum mean square error is regarded as the calibration result.

The frequency response of the Wiener filter is derived through minimisation of mean square error in the frequency domain.

Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time.

With the updated process model, a control law is determined to minimize the sum-square-error beyond future steps.

The upper bound of mean square error is given for the two algorithms of fixed and block floating point.

we proposed computed examples and checked the reliability of error average and mean square error, which can be 95 percent.

Simulation results demonstrate the improvement of image resolution and the reduction of root mean square error(RMSE).

The correlation coefficients(r) and root mean square error of prediction(RMSEP) were used as the model evaluation indices.

We develop the minimum mean square error (MMSE) method for stripe nonuniformity correction (NUC).

Extended Entropy Square Error(EESE) function is defined and its effect is proved theoretically.

Bayes Minimum Mean Square Error (Bayes MMSE)method is used to estimate the wavelet coefficients free of noise.

According to the principle of minimum mean square error fit, the corresponding matrix formulation is developed.

This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.

Then, the performance of space-frequency equalizer (SFE) is derived and simulated based on minimum mean square error (MMSE).

A kind of generalized least square error robust self tuning controller algorithm with model reference is proposed.

The proposed algorithm can reach small system mean square error with nonuninformed pilots.

Well, we could try to minimize a square error like we did before.

A fast encoding algorithm based on the mean square error(MSE) distance for vector quantization is introduced.

Through practical process of CT images, medical X-ray images filter based on minimum even-square error has been accomplished in this work.

Improving the Performance of Alternating Projection Demosaicking Algorithm by Pre-Estimating Minimum Square Error Initialization

Generalized Least Square Error Robust Self-tuning Controller with Model Reference and Its Application

Forecasting geotechnical engineering distortion with least square error forecasting method

Bias of Approximate Mean Square Error of the Regression Estimator and Its Estimator

Unbiased Estimation Formula of Unit Weight Mean Square Error in Regularization Solution

Limit Theorem for Integrated Square Error of Orthogonal Series Density Estimators

Matching Algorithm of Least-Square Error of Two Groups of Star Vectors

Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram

The Minimum Mean-square Error Estimation Technology of Optical Intensity

Application of Least Square Error to Land Use Regionalization in Gansu Province

Interval estimation of general mean square error for statistic model

Mean square error and patterns comparison of sensitivity issue

Adaptive Control of Minimum Square Error for Non-Minimum Phase System

Accident mean square error of elevation difference

The interpolation algorithms of picture error concealment based on minimum mean square error

Total mean square error of elevation difference

mean square error of a point

Integral of time-weighted square error

An Improved Method of Maximum Classes Square Error

Threshold selection method for medical X-ray images filter based on minimum even-square error

mean square error of angle observation

Gauss-Newton Feed Forward Neural Network Based on Entropy Square Error Function

mean square error of coordinate

mean square error of side length

RMSE, root mean square error

mean square error of azimuth

Root Mean Square error, RMSE

An Adaptive Genetic Algorithm Based on Square Error

mean square error of height

Least Sum of Square Error