Results 251 to 260 of about 145,155 (289)
This paper is concerned with using the E-Bayesian method for computing estimates of Pareto index.
Han Ming
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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
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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
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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
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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
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A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)
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
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Munna Khan +2 more
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Azeem Iqbal, Muhammad Yousuf Shad
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