University of California, San Francisco

Brain Stimulation That Adapts to Parkinson’s Patients’ Every Step

UC San Francisco researchers have developed a new form of deep brain stimulation (DBS) that adjusts in real time as a person walks, helping to improve gait and reduce falls in people with Parkinson’s ...
GitHub

WWZ Transform Code for Python

This is a Python code for timeseries analysis using WWZ transformations. It uses Foster's abbreviated Morlet Wavelet to analyse timeseries using a WWZ (Weighted ...
Armed robbery in Revesby

Step-Growth Transforms to Chain-Growth via Click Polymerization

A controlled/"living" click polymerization method developed by researchers at Institute of Science Tokyo and Nagoya University enables precise chain-growth of AB-type monomers—traditionally limited to ...
IEEE

Design of Parameters of Fast Fourier Transform for Three-Dimensional Split Step Parabolic Equations and Mirror Kirchhoff Approximation

Abstract: This paper proposes the simulation parameters of the fast Fourier transform (FFT) for the 3-dimensional (3D) split step parabolic equation (SSPE) and the mirror Kirchhoff approximation (MKA) ...
IEEE

Piece-Wise Fourier Transform of Aperiodic Functions

Abstract: One new step-by-step procedure to obtain Fourier transform of some aperiodic waveshapes, without using Discrete Fourier Transform (DFT) or Fast Fourier Transform (FFT) and window functions, ...
GitHub

S2FFT: differentiable and accelerated spherical transforms

S2FFT is a Python package for computing Fourier transforms on the sphere and rotation group (Price & McEwen 2024) using JAX or PyTorch. It leverages autodiff to provide differentiable transforms, ...