Results 241 to 250 of about 296,811 (276)

MSE < Variance? A pitfall in calculating the mean square error

Model Assisted Statistics and Applications, 2011
When calculating the mean square error (MSE), it is possible to encounter a situation where the variance of a parameter of interest is larger than its mean square error. In theory, this is impossible because MSE is the sum of variance and bias squared; even when bias is zero, the MSE should be equal to, and not less than, the variance.
openaire   +1 more source

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

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, Guangting Li, Xianming Wang, Chai Jing   +3 more
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Mean Squared Error (MSE)-Based Excitation Pattern Design for Parallel Transmit and Receive SENSE MRI Image Reconstruction

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, Song Noh, David J. Love, Thomas M. Talavage, Stephen Beckley, Sherman J. Kisner   +5 more
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MSE FINDR: A Shiny R Application to Estimate Mean Square Error Using Treatment Means and Post Hoc Test Results

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, Denis A. Shah, Paul D. Esker, Peter S. Ojiambo   +3 more
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Reduction of Bit Error Rate (BER) and Mean Square Error (MSE) in MIMO-OFDM System Using SUI and ETU Channels

2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), 2023
Munna Khan, Shoaa Akbari, Kashif Ik Sherwani   +2 more
openaire   +1 more source

E-Bayesian estimation of Maxwell distribution and its evaluation standards: E-Posterior Risks and E-MSEs (expected mean square errors)

Journal of Statistical Computation and Simulation, 2022
Azeem Iqbal, Muhammad Yousuf Shad
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Minimum mean squared error (MSE) adjustment and the optimal Tykhonov–Phillips regularization parameter via reproducing best invariant quadratic uniformly unbiased estimates (repro-BIQUUE)

, 2008
B. Schaffrin
semanticscholar   +1 more source

Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error

IEEE transactions on circuits and systems for video technology (Print), 2017
Sudeng Hu, Lina Jin, Hanli Wang, Yun Zhang, S. Kwong, C.-C. Jay Kuo   +5 more
semanticscholar   +1 more source

Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering

American Control Conference, 2017
Prince Singh, Min Chen, L. Carlone, S. Karaman, Emilio Frazzoli, David Hsu   +5 more
semanticscholar   +1 more source

Perceptual Fidelity Aware Mean Squared Error

IEEE International Conference on Computer Vision, 2013
Wufeng Xue, X. Mou, Lei Zhang, Xiangchu Feng   +3 more
semanticscholar   +1 more source