Results 231 to 240 of about 296,811 (276)
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Content-weighted mean-squared error for quality assessment of compressed images
Signal, Image and Video Processing, 2015Ke Gu, Shiqi Wang, Guangtao Zhai
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Simulation and Extension of a Minimum Mean Squared Error Estimator in Comparison with Stein's
Technometrics, 1976Hrishikesh D Vinod
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Bayesian analysis for weighted mean‐squared error in dual response surface optimization
Quality and Reliability Engineering International, 2010In-Jun Jeong, , Dennis K J Lin
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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
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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
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Computational Statistics and Data Analysis, 2007
Wenceslao Gonzalez-Manteiga +2 more
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Wenceslao Gonzalez-Manteiga +2 more
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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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