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General Movements Assessment and Amiel-Tison Neurologic Examination in Neonates and Infants: Correlations and Prognostic Values Regarding Neuromotor Outcomes. [PDF]
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Harnessing artificial neural networks for accurate PV system parameters determination: radiation, temperature, and MPPT. [PDF]
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Local and global mortality experience: A novel hierarchical model for regional mortality risk. [PDF]
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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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