Nature

Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning

In today’s digital era, technology is developing rapidly, and numerous intelligent fields have increasingly higher requirements for location accuracy. In outdoor environments, GNSS (Global Navigation ...
Phys.org

A centered error entropy-based sigma-point Kalman filter for spacecraft state estimation with non-Gaussian noise

A spacecraft attitude kinematics model, attitude measurement model, and filter algorithm are three important parts in spacecraft attitude determination, and a high-precision filtering algorithm is the ...
Nature

Adaptive median filter salt and pepper noise suppression approach for common path coherent dispersion spectrometer

The Common-path Coherent-dispersion Spectrometer (CODES), an exoplanet detection instrument, executes high-precision Radial Velocity (RV) inversions by recording the phase shifts of interference ...
Phys.org

Algorithms that address malicious noise could result in more accurate, dependable quantum computing

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently "noisy." Rice University computer scientists have developed algorithms ...
MIT Technology Review

A deep-learning algorithm could detect earthquakes by filtering out city noise

The model could uncover quakes that would previously have been dismissed as human-generated vibrations. Cities are loud places. Traffic, trains, and machinery generate a lot of noise. While it’s a ...