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The Mean Square Error (MSE) Performance Criteria
1986Adaptive signal processing algorithms generally attempt to optimize a performance measure that is a function of the unknown parameters to be identified. The most pervasive of these performance measures are based upon squared prediction errors, although the specific prediction error used in adaptation often depends upon the particular algorithm.
S Thomas Alexander
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A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)
Lecture Notes in Computer Science, 2008A 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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IET Communications, 2015 International audienceIn this paper the performance of different preamble-based channel estimation techniques is analyzed for orthogonalfrequency division multiplexing/offset QAM (OFDM/OQAM) modulation systems.
Faouzi Bader, Vincent Savaux
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Proceedings 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
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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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2017 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
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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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IEEE 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
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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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Test, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Plant Disease
Research synthesis methods such as meta-analysis rely primarily on appropriate summary statistics (i.e., means and variance) of a response of interest for implementation to draw general conclusions from a body of research. A commonly encountered problem arises when a measure of variability of a response across a study is not explicitly provided in the ...
Vinicius C. Garnica +3 more
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Research synthesis methods such as meta-analysis rely primarily on appropriate summary statistics (i.e., means and variance) of a response of interest for implementation to draw general conclusions from a body of research. A commonly encountered problem arises when a measure of variability of a response across a study is not explicitly provided in the ...
Vinicius C. Garnica +3 more
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Communications in Statistics - Simulation and Computation, 2019
This paper is concerned with using the E-Bayesian method for computing estimates of Pareto index.
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This paper is concerned with using the E-Bayesian method for computing estimates of Pareto index.
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Journal 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.
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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.
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