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Content-weighted mean-squared error for quality assessment of compressed images
Signal, Image and Video Processing, 2015Guangtao Zhai, Siwei Ma, Shiqi Wang
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Communications in statistics. Simulation and computation, 2022
Ridge Estimation (RE) is a widespread method to overcome the problem of collinearity defining a class of estimators depending on the non-negative scalar parameter k.
C. García-García +2 more
semanticscholar +1 more source
Ridge Estimation (RE) is a widespread method to overcome the problem of collinearity defining a class of estimators depending on the non-negative scalar parameter k.
C. García-García +2 more
semanticscholar +1 more source
Bayesian analysis for weighted mean‐squared error in dual response surface optimization
Quality and Reliability Engineering International, 2010In-Jun Jeong, Kwang-Jae Kim
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Simulation and Extension of a Minimum Mean Squared Error Estimator in Comparison with Stein's
Technometrics, 1976Hrishikesh Vinod
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Analysis of Mean-Square-Error (MSE) for fixed-point FFT units
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011Range and precision analysis are important steps in assigning suitable integer and fractional bit-widths to the fixed-point variables in a design such that no overflow occurs and a given error bound on maximum mismatch and (or) Mean-Square-Error (MSE) is satisfied.
Omid Sarbishei, Katarzyna Radecka
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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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Multiresponse robust design: Mean square error (MSE) criterion
Applied Mathematics and Computation, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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MSE < Variance? A pitfall in calculating the mean square error
Model Assisted Statistics and Applications, 2011When 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.
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A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)
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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