Scientific Software
Updated 6 months ago

Fitspy — Peer-reviewed • Rank 9.6 • Science 98%

Fitspy: A Python package for spectral decomposition - Published in JOSS (2024)

Updated 6 months ago

mel-cepstral-distance • Rank 4.7 • Science 67%

A Python library for computing the Mel-Cepstral Distance (Mel-Cepstral Distortion, MCD) between two inputs. This implementation is based on the method proposed by Robert F. Kubichek in "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment".

Updated 6 months ago

psd • Rank 14.2 • Science 49%

Adaptive, sine-multitaper power spectral density estimation in R

Updated 6 months ago

PlotTools • Rank 11.5 • Science 49%

Tools for plotting with base R

Updated 6 months ago

proplib-lfmf • Rank 6.3 • Science 54%

NTIA/ITS C++ implementation of Low Frequency / Medium Frequency (LF/MF) Propagation Model. The LF/MF model predicts basic transmission loss in the frequency range 0.01 - 30 MHz for propagation paths over a smooth Earth and antenna heights less than 50 meters.

Updated 6 months ago

neutronics-workshop • Rank 8.0 • Science 44%

A workshop covering a range of fusion relevant analysis and simulations with OpenMC, DAGMC, Paramak and other open source fusion neutronics tools

Updated 6 months ago

spectrum-plotter • Rank 7.2 • Science 44%

A Python package for creating publication quality plots for neutron / photon / particle spectrum

Updated 6 months ago

https://github.com/astrojohannes/normalizer • Science 13%

Interactive 1D spectrum normalizer tool using two different spline fitting methods and either user-defined line windows or automated line window selection.

Updated 6 months ago

p2108-python • Science 54%

Python wrapper for U.S. Reference Software Implementation of Recommendation ITU-R P.2108

Updated 6 months ago

proplib-p2108 • Science 54%

NTIA/ITS implementation of Recommendation ITU-R P.2108. This Recommendation contains three methods for the prediction of clutter loss: the Height Gain Terminal Correction Model, the Terrestrial Statistical Model, and the Aeronautical Statistical Model.

Updated 6 months ago

lfmf-python • Science 54%

Python wrapper for the NTIA/ITS implementation of the Low Frequency / Medium Frequency (LF/MF) Propagation Model. LF/MF predicts basic transmission loss in the frequency range 0.01 - 30 MHz for propagation paths over a smooth Earth and antenna heights less than 50 meters.

Updated 6 months ago

4 • Science 49%

It is possible to predict the spectrum of e.g. a nucleobase in a nucleoside-nucleobase conversion.