Parameterizing neural power spectra into periodic & aperiodic components.
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Updated
May 4, 2024 - Python
Parameterizing neural power spectra into periodic & aperiodic components.
Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.
Calculation of PSD of seismic waves in order to measure the impact of culture noise during the COVID-19 pandemic.
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 bundle of codes targeted on analyses of IQ data in the context of Schottky spectroscopy
Scripts to determine the power spectral density (PSD) of blazar light curves in python2
High frequency dynamics signal processing and analysis.
Statistical Digital Signal Processing and Modeling
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