There are 0 repository under power-spectrum topic.
Python package for early warning signals (EWS) of bifurcations in time series data.
Libraries to analyze numerical simulations (python3)
Libraries to analyze numerical simulations
Python binding allowing to retrieve audio levels by frequency bands given audio samples (power spectrum in fact), on a raspberry pi, using GPU FFT
Precision Radio Interferometry Simulator (for radio astronomy applications)
This is a modified version of the L-PICOLA code extending the COLA approach for simulating cosmological structure formation to theories that exhibit scale-dependent growth. It can compute matter power-spectra (CDM and total), redshift-space multipole power-spectra P0,P2,P4 and do halofinding on the fly. It can also include the effects of massive neutrinos on structure formation.
C code for auto and cross power spectra evaluation.
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)
Estimators and data for window-free analysis of power spectra and bispectra
This web app allows you to decompose your signal data or time series using FFT and gives the opportunity to interactively investigate the signal and its spectrum (frequency spectrum, power spectrum, periodogram, and its power spectral density) using the advantage of Plotly package.
A simple delay-space power spectrum estimator with proper cosmological normalization.
LabSpec: rezonans stochastyczny
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Εxercises for Advanced Signal Processing Methods course in Faculty of Engineering of Aristotle's University of Thessaloniki
Power spectrum analysis on the LCMD cosmology, using CLASS
Overall process of speech signal processing (Mel-spectrogram & MFCCs) and loading data using Pytorch dataloader
Codes of some useful statistical quantities in astrophysics and cosmology
A code to calculate velocity power spectra over large dynamical ranges.
Statistical Digital Signal Processing and Modeling
Gaussian Process Inference
To analyze physiology data with power spectra of average and residuals.
velocity.py reads in GROMACS trr trajectory (that inclides velocity information) and calculates center of mass translational velocity and angular velocity. It also computes translational and rotational kinetic energies, temperatures, velocity autocorrelation functions and power spectra