Minimization of the Mean Square Error

Lecture Probability Theory - Lecture 16: Mean square Estimation Given some information that is related to an unknown quantity of interest, the problem is to obtain a good estimate for the unknown in terms of the observed data.

33p cucngoainhan0 10-05-2022 8 1   Download

Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. It well balances the deman d for sufficient beamforming gains to overcome the propagatio n loss and the desire to reduce the hardware cost and power consumption. In this paper, the mean square error (MSE) is chosen as the performance metric to characterize the transmission reliability. Using the minimum sum-MSE criterion, we investigate the HBF design for broadband mmWave transmissions.

15p son248 24-03-2020 29 1   Download

In this paper we present an adaptive filter for denoising the ECG signal based on Leaky Normalized Least Mean Square (LNLMS) algorithm. The adaptive filter essentially minimizes the mean squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input.

4p girlsseek 27-02-2019 20 0   Download

The filter compensates influences of the network to acquire accurate estimate of the system state and consequently ensures the convergence of the control laws. The optimality of the filter in term of minimizing the mean square error is theoretically proven. Many simulations and experiments have been conducted. The result confirmed the validity of the proposed approach.

0p thienthanquydu 19-10-2018 27 0   Download