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
doaj +1 more source
Root-Mean-Square-Error (RMSE) of registration.
, 2022 RMSE of the point cloud registration, Eq (1), averaged over 10 different time frames and for all possible slab locations as functions of slab thickness for 1mm and 2.5mm slice thicknesses of moving slabs of scaphoid, capitate, and lunate.
Kevin M. Koch (10210935) +4 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Validating linear restrictions in linear regression models with general error structure [PDF]
, 2006 A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Holzmann, Hajo +2 more
core +1 more source
Root mean square error of the mean.
, 2022 The root mean square error, or root mean square difference between the estimate and the true value, of the mean parameter value from the Bayesian posterior.
Van N. T. La (13883542) +3 more
core +1 more source
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
doaj +1 more source