Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018
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Updated
May 17, 2018 - MATLAB
Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018
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.
Power Spectral Density method employments and comparison.
Scripts for computing metrics from ciliary motion.
Functions for creating speech features in MATLAB.
Senior Design Project at UH
Compares FBMC to OFDM based schemes. Reproduces all figures from “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, 2017.
A bundle of codes targeted on analyses of IQ data in the context of Schottky spectroscopy
Calculation of PSD of seismic waves in order to measure the impact of culture noise during the COVID-19 pandemic.
Spectral analysis of ECG signals based on Fast Fourier Transform and Power Spectral Density
High frequency dynamics signal processing and analysis.
Modelling and simulation of major components in a digital communication system
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
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.
Minimalist Matlab implementation of a random process generation in one point
Ground acceleration records are simulated using the non-stationnary Kanai–Tajimi model
Adaptive, sine-multitaper power spectral density estimation in R
Power spectral density for patchy images
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