Abstract: This article presents a method for estimating a linear time-varying approximation of a general class of nonlinear time-varying (NLTV) systems. It starts from noisy measurements of the ...
Odyssey Math Tuition launches Secondary 4 online math tuition elearning courses in Singapore, featuring a proprietary MOE-aligned curriculum covering E Math and A Math topics to boost exam performance ...
Abstract: Many pattern recognition machines may be considered to consist of two principal parts, a receptor and a categorizer. The receptor makes certain measurements on the unknown pattern to be ...
Abstract: The spatial resolution and temporal frame-rate of dynamic magnetic resonance imaging (MRI) can be improved by reconstructing images from sparsely sampled ${k}$ -space data with mathematical ...
Abstract: Spatial spectrum direction finding is a kind of radio signal direction finding technology which combines multi-element antenna and multi-channel signal processing. The spatial spectrum ...
Abstract: The mathematical foundation of deep learning is the theorem that any continuous function can be approximated within any specified accuracy by using a neural network with certain non-linear ...
Abstract: We describe a set-based approach, relying on mean-value extensions, for computing guaranteed under-approximations of ranges (or images) of continuously differentiable functions f from Rm to ...
Abstract: Attention towards power quality issues in distribution grids has increased noticeably in the last decade. Power quality assessment and monitoring require voltage transducers capable of ...
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