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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.
Ng, Edmond Siu-Woon
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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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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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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.
Alexander S Thomas
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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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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.
Vincent Savaux, Faouzi Bader
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The Steady-State Mean-Square Error Analysis for Least Mean $p$-Order Algorithm
IEEE Signal Processing Letters, 2009 Based on series expansion, the steady-state mean-square error (MSE) analysis for real and complex least mean p-order (LMP) algorithm is developed, and some closed-form analytical expressions for the steady-state MSE and the corresponding restrictive ...
Binshan Lin, Rongxi He
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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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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
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