NEWTON RECURSION BASED RANDOM DATA-REUSING GENERALIZED MAXIMUM CORRENTROPY CRITERION ADAPTIVE FILTERING ALGORITHM

Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm

For system identification under impulsive-noise environments, the gradient-based generalized maximum correntropy criterion (GB-GMCC) algorithm can achieve a desirable filtering performance.However, the gradient method only uses the information of the first-order derivative, and the corresponding stagnation point of the method can be a maximum point

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Is Diffusion Tensor Imaging-Guided Radiotherapy the New State-of-the-Art? A Review of the Current Literature and Technical Insights

Despite the increasing precision of radiotherapy delivery, it is still frequently associated with neurological complications.This is in part due to damage to eloquent white matter (WM) tracts, which is made more likely by FK the fact they cannot be visualised on standard structural imaging.WM is additionally more vulnerable than grey matter to radi

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