Abstract: Nonlinear functions are widely involved in modern digital signal processing systems, which are usually calculated by polynomial approximation, CORDIC algorithm, or look-up tables. Due to the ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
New paper published in Nature details NTT Research’s development of the world’s first programmable nonlinear photonic waveguide in collaboration with Cornell University and Stanford University. A ...
The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown ...
ABSTRACT: This paper is the continuation of our previous research in which we studied such aspects of CARS spectroscopy in dipole-active crystals by polaritons as the regimes of coherent simultaneous ...
In this work, we provide some sufficient conditions to study the global asymptotic stability of the endemic equilibrium for certain models in mathematical epidemiology with nonlinear incidence and ...
Abstract: Unary computing is a relatively new method for implementing arbitrary nonlinear functions that uses unpacked thermometer number encoding, enabling much lower hardware costs. In its original ...
Department of Computer Science, Regentropfen College of Applied Sciences, Bolgatanga, Ghana. In the realm of computational mathematics and scientific computing, the choice of software can profoundly ...
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