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Global feasible path planning for pest monitoring robots in unstructured agricultural environments. [PDF]
Shao Y, Tao F, Si P, Ji B, Li M.
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The relationship between physical activity participation and prosocial behavior among older adults: the mediating role of empathy. [PDF]
Yan J, Fang S, Wang J.
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A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]
Dharma C +6 more
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Toward Causal Inferences in Discipline-Based Education Research: Using Regression Discontinuity Design to Understand the Effect of Classroom Interventions. [PDF]
Xu S, Theobald EJ.
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A variable step size LMS algorithm
IEEE Transactions on Signal Processing, 1992A least-mean-square (LMS) adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady-state behavior of the algorithm are analyzed.
Kwong, Raymond H., Johnston, Edward W.
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Nonparametric Variable Step-Size LMAT Algorithm
Circuits, Systems, and Signal Processing, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guan, Sihai, Li, Zhi
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VARIABLE STEP-SIZE STÖRMER METHODS
Computational Methods in Sciences and Engineering 2003, 2003Although it is possible to integrate a special second-order differential equation of the form y''(x) = f(x,y(x)), y(x0) = y0, y'(x0) = y'0 (1) by reducing it to a first order system and applying one of the methods available for those systems, it seems more natural to provide numerical methods to integrate (1) directly without using first derivatives ...
H. RAMOS, J. VIGO-AGUIAR
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