mean square

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.

The least mean square (LMS) algorithm is researched primarily and applied to the vibration active control system.

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

This method uses the total root mean square of weighed of three axles to evaluate the vibration of the handle and seat.

The objection function is defined as the mean square errors between the given digitized curve and the approximated polygonal.

Scatter diagrams and the statistical criteria of relative error and mean square deviation were used to evaluate this model.

The best solution is to refine technique and thus reduce the size of the error mean square.

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

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 optimal wavelet shrinkage threshold in this method is determined by the root mean square value of high frequency wavelet coefficient.

The least mean square (LMS) algorithm is abroad applied in the field of adaptive filter dealing with simply computation and easy realized.

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

Corroborated by the coherency attributes, in both seismic section and slicing, root-mean-square amp. . .

With the increase of the implantation voltage, the root-mean-square roughness (RMS) of Zr films almost don't change.

One example includes a least-mean-square (LMS) algorithm that uses a reference signal for training the equalizer to channel conditions.

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

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

The transition of girder element and quadrilateral board element were restricted with mean square weighting.

The mean-square end-to-end distance has different behaviours on both sides of the critical point among the three systems. 3.

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 result showed that the root-mean-square of Phase function fitted by random probability sampling method is smaller.

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

The mean-square width and the equivalent-beam width are put forward to investigate the spreading of vortex beam while propagating.

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

Least mean square (LMS) adaptive filtering were attempted to remove the noise from the response signal.

Below is presented the method to calculating the root-mean-square acceleration (Grms) response from a random vibration ASD curve.

Besides, it adopts the root mean square value of fitting curves' windage vector as its evaluation standard.

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

According to the condition of convergence on the Mean-Square Deviation, the algorithm decreases its order as iteration goes on.

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

This article introduces a method of noise cancellation based on adaptive filter, adopting normalized least mean square algorithm.

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).

While the pulse root mean square (RMS) broadening is a main physical variable to judge signal transmission performance.

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

The mean square amplitude of (110) plane surface exhibits anisotropic behavior.

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

The transformed signal is used as the input to least mean square self-adapting filter algorithm with stage II.

Firstly, propose a novel adaptive beamforming algorithm based on cyclic least mean square (CLMS) algorithm.

Lenst mean square (LMS) class and constant modulus algorithm (CMA) equalizer are studied based on on-off key (OOK) modulation.

frequency offset compensation is carried out using variable step size least mean square algorithm(VLMS).

i have also studied the method of rri - sampling , fu ' s algorithm of full cycle and the algorithm of root - mean - square.

In the paper, a kind of adaptive noise cancellation filter with reference channel based on Least Mean Square(LMS)algorithm is discussed.

The reason is that the formula of calculating mean square deviation .

The mean square of hydrodynamic model this paper proposed is between 0. 4% and 13. 9%, the average of which is 6. 6%.

A Necessary and Sufficient Condition of n-Order Mean Square Differentiability for a Second Moment Stochastic Process

Mean square convergence of the composite Euler method for a linear stochastic differential delay equation

Sufficient and necessary condition of a class I to uncertain stochastic system's mean-square stabilization stability

Mean square stability and exponential stability of the semi-implicit derivative-free methods for solving stochastic differential equations

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

Necessary and Sufficient Condition for Mean-Square Stability of Linear Stochastic System with Distributed Parameter

Mean Square Stability and Exponential Stability of Euler Scheme for Solving Stochastic Differential Equations

Mean Square Convergence of Multi-innovation Projection Algorithm for Time-varying Multivariable Systems

Bias of Approximate Mean Square Errors of the Ratio Estimator and Its Estimator

A Sufficient and Necessary Condition of a Class Ito Uncertain Stochastic Stystem's Mean-Square Stabilizing

Speech endpoint detection using mean square filtering and threshold encoding of wavelet transformation

Mean square exponential stability of stochastic vector difference equations with variable delays

Relationship Between Mean-square Radius of Gyration and Degree of Branching for Highly Branched Copolymers

Influence of different linear interpolation algorithm on root mean-square power in brain electrical activity mapping

Asymptotically Mean Square Stability of Stochastic Bilinear Delay- system with Markov Switching

Nuclear reactor instrumentation - Wide range neutron fluence rate meter - Mean square voltage method

Mean Square Convergence of Instrumental Variable Least Square Identification

Mean Square Riemann Integrals of the Bounded Closed Convex Set-valued Stochastic Processes

Mean-square Displacements of Atoms in One Dimensional Monatomic Nanocrystalline Particles

A Test Research on Mean Square Deviation of Hunting Wave of Bogie Frame of High-speed Train Running on the Qing-shen Passenger Railway Line

Modified Root-Mean-Square Method for Estimation of Fatigue Crack Initiation Life under Spectrum Loading

Application of true root mean square measurement to the moisture measuring microwave system

Mean square convergence of hierarchical least square identification under the attenuating excitation

mean square length of moderation

The contrast between mean deviation and root-mean-square deviation for designation index of variation

The empirical biases and mean square errors of estimators for the seasonal model parameter

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

Adaptive Normalized Least Mean Square Algorithm with Variable Step-Size for Digital Signal

Computation on Root Mean Square Radius and Modulation Transfer Function in Imaging Systems

Mean Square Derivative of the Convex Set-valued Stochastic Processes

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

A self-organized data fusion algorithm of the minimum mean-square for radar networks

Research on Mean Square Exponential Stable of Time-delayed Network Control System

Computing Mean Square Numerics from Road Surface Elevation Profile Records

Optimal Unbiased Converted Measurement Kalman Filtering in the Mean-Square Sense

Analysis of Mechanism Affecting Mean-Square Deviation of Automatic Silk Reeling

Mean-square Velocities of Atoms in One Dimensional Monatomic Nanoparticles

Mean-square deviation of computational method algorithm,

The Minimum Mean-square Error Estimation Technology of Optical Intensity

Measurement and Research of Root-mean-square Turbulence Velocity on Hartmann Bomb

Performance Analysis of Least Mean Square Algorithm for Time-Varying Systems

Mean Square Convergence of Second-order Moment Fuzzy Stochastic Process

Robust Total Least Mean Square Adaptive Filter: Algorithm and Analysis

The calculation and analysis of root mean square for Lanzhou seismic array survey sites

Optimal variable step-size least-mean-square model and practical algorithm

Interval estimation of general mean square error for statistic model

An adaptive transverse filter using least mean square algorithm

Stochastic State Feedback Control Strategy of Mean Square Stabilizable Systems

Mean square error and patterns comparison of sensitivity issue

Fast Adaptive Trans-Propagation Least Mean Square Algorithm Based on Principle of Alternative Projection

Mean Square Limit of Second Order Moment Fuzzy Stochastic Process

Analysis on Factors Affecting the Mean-square Deviation of Auto-reel Raw Silk

Simplified Volterra Series Identification Method Based on Variable Step Size Block Least Mean Square Filter

No negative torque, root mean square torque than conventional pumping unit type small 30%;

Accident mean square error of elevation difference

mean square stabilization of t - s fuzzy stochastic systems

Coefficient of mean square contingency

Accurate Design of Mean-Square Deviation of Raw Silk in Multi-End Reeling

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

Adaptive Inverse Control of Shock Vibration Based on Filter-X Least Mean Square Algorithm

A Control Chart of Autocorrelated Processes Based on Best Mean Square Predictors

Mean square stablliation of T-S fuzzy stochastic systems with time-delays

mean square error of angle observation

mean square error of coordinate

Mean square radius of gyration

DRMS Distance Root Mean Square

mean square error of side length

RMSE, root mean square error

mean square error of azimuth

Root Mean Square error, RMSE

Mean square end to end distance

mean square error of height

Lack of fit mean square