Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Abstract: Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the ...
IEEE

Accelerating Deep Learning Frameworks with Micro-Batches

Abstract: cuDNN is a low-level library that provides GPU kernels frequently used in deep learning. Specifically, cuDNN implements several equivalent convolution algorithms, whose performance and ...
Nature

Learning algorithms articles from across Nature Portfolio

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Nature

Anomalous Fraunhofer Line Profiles

DURING the spring of 1961 we made observations of the H line of Ca(II) in the spectrum of moonlight, with the view of detecting any luminescent radiation which might have been present. The ...