Abstract: Gaussian Mixture Function (GMF) is a widely utilized model for analyzing and elucidating experimental data in science and engineering, where the fitting of GMF with noisy observations is ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

Conventional techniques may not be sufficient, but a new approach to implementing nonlinear algorithms may accomplish the goal. Roy Batruni, CEO, Optichron Nonlinear signal distortion is widespread ...

Abstract: The electroencephalogram records both the static performance and dynamic changes in the brain electrical activity, with linear and nonlinear features capable of modeling these static and ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Can light perform millions of calculations at once without extra materials? A new optical system shows how this can be done. Artistic depiction of a diffractive optical processor for massively ...