Results 251 to 260 of about 145,155 (289)

E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions

open access: closedCommunications in Statistics - Simulation and Computation, 2019
This paper is concerned with using the E-Bayesian method for computing estimates of Pareto index.
Han Ming
openaire   +2 more sources

Mean square error (MSE) based hybrid analog and digital combining for systems with large receive antenna arrays

open access: closed2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2017
In this work we investigate the hybrid analog and digital combining applicable to both multi-user single-input multiple-output (SIMO) and single user multiple-input multiple-output (MIMO) systems via modeling equivalence. We consider the mean square error (MSE) of the estimated signal after the combiner, and indicate that the optimal MSE can be ...
Ming-Chun Lee, Wei-Ho Chung
openaire   +2 more sources

Minimum mean squared error (MSE) adjustment and the optimal Tykhonov–Phillips regularization parameter via reproducing best invariant quadratic uniformly unbiased estimates (repro-BIQUUE)

open access: closedJournal of Geodesy, 2007
In a linear Gauss–Markov model, the parameter estimates from BLUUE (Best Linear Uniformly Unbiased Estimate) are not robust against possible outliers in the observations. Moreover, by giving up the unbiasedness constraint, the mean squared error (MSE) risk may be further reduced, in particular when the problem is ill-posed.
Burkhard Schaffrin
openaire   +2 more sources

Mean Squared Error (MSE)-Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction

open access: closedIEEE Transactions on Computational Imaging, 2016
Parallel coils at both the transmitter and receiver can be used to offer more control over the magnetic resonance imaging (MRI) system, and this implementation has potential to improve the performance in high-field MRI. A new MSE-based EXcitation Pattern (MSE-EXP) design for image reconstruction in parallel transmit and receive SENSitivity Encoding ...
Il Yong Chun   +5 more
openaire   +2 more sources

An MSE (mean square error) based analysis of deconvolution techniques used for deblurring/restoration of MRI and CT Images

open access: closedProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016
The image blurring is a common artifact effecting the image quality in terms of details. In medical imaging such image details play a very crucial role e.g. CT and MRI[7] scan images. There are many deconvolution techniques available like Wiener[1], RC Lucy[3] and Blind [4] etc. which help in restoration of blurred[12] images.
Poonam Sharma   +2 more
openaire   +2 more sources

A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)

open access: closed, 2008
A new variable step-size(VSS) LMS adaptive algorithm based on the convergence ratio of MSE and the correlation between reference signal and output error is proposed in the paper. Theory analyzing and simulation results prove that the new algorithm improves the convergent speed of general LMS algorithm and optimizes the trace ability of time-varying ...
Hong Wan   +3 more
openaire   +2 more sources

Reduction of Bit Error Rate (BER) and Mean Square Error (MSE) in MIMO-OFDM System Using SUI and ETU Channels

open access: closed2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), 2023
Munna Khan   +2 more
openaire   +2 more sources

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