Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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Adaptive modulation based on steady-state mean square error for underwater acoustic communication
EURASIP Journal on Wireless Communications and Networking, 2021 To improve the transmission efficiency and facilitate the realization of the scheme, an adaptive modulation (AM) scheme based on the steady-state mean square error (SMSE) of blind equalization is proposed.
Zhiyong Liu, Zhoumei Tan, Fan Bai
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Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities [PDF]
بوم شناسی کشاورزیIntroductionWheat (Triticum aestivum L.) is one of the most important and widely consumed crops in the world. Changing the density towards an optimal density can alter the ratio of soil evaporation to plant transpiration in such a way that water use ...
Ali Rahemi karizki +5 more
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BER and NCMSE based Estimation algorithms for Underwater Noisy Channels [PDF]
EAI Endorsed Transactions on Internet of Things, 2017 Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps that are widely separated in time ...
Fahad Khalil Paracha +4 more
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Active Noise Control System Based on the Improved Equation Error Model
Acoustics, 2021 This paper presents an algorithm structure for an active noise control (ANC) system based on an improved equation error (EE) model that employs the offline secondary path modeling method.
Jun Yuan +4 more
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Scalable kernel-based minimum mean square error estimate for light-field image compression
EURASIP Journal on Image and Video Processing, 2018 Light-field imaging can capture both spatial and angular information of a 3D scene and is considered as a prospective acquisition and display solution to supply a more natural and fatigue-free 3D visualization.
Zhixiang You, Ping An, Deyang Liu
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Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
IEEE Access, 2018 The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
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The third-power moment of the Riesz mean error term of symmetric square L-function
AIMS Mathematics, 2021 Let $ f(z) $ be a holomorphic Hecke eigenform of weight $ k $ with respect to the full modular group $ SL(2, Z) $, and let $ \Delta_{\rho}(x; sym^{2}f) $ be the error term of the Riesz mean of the symmetric square $ L $-function $ L(s, sym^{2}f) $.
Rui Zhang, Xiaofei Yan
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Exact Mean Integrated Squared Error
The Annals of Statistics, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marron, J. S., Wand, M. P.
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Journal of Kufa for Mathematics and Computer, 2012        This paper is concerned with Modified Double Stage Shrinkage Bayesian (DSSB) Estimator for lowering the mean squared error of classical estimator  for the scale parameter (q) of an Exponential Distribution in suitable region (R) around ...
Abbas Najim Salman +2 more
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