Decipher and classify accelerometer and gyroscope signal patterns of different activities collected from smartphone sensors.
Workspace for applied problems of probability theory & mathematical statistics & modelling class
In this repository, we first read the file of a signal in Matlab and then calculate for that signal the energy value of the short time, the magnitude of the short time, and the Zero crossing rate on the short time. After seeing the output of the above values, we check the autocorrelation for vowels and non-vowels in our selected part of the file.
Svidzinska, D. (2019). The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables. Ekológia (Bratislava), 38(2), 140–153. https://doi.org/10.2478/eko-2019-0011
Digital Signal Processing projects 2019.1
Time series analysis on NYC births data.
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
Lattice Data with R (City of Cape Town)
Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository
Hourly electricity price and demand forecasting
Standards Time Series and Regression Package, a library of Fortran subroutines for statistical data analysis developed by the Statistical Engineering Division of the National Institute of Standards and Technology
Evaluating white noise for class. This was from 1/15/2020
time series analysis in R use cases
Extracts the dominant frequency sequence from an OGG audio file and exports it as a text file.
Walkthrough of the YIN algorithm for pitch detection from musical signals.
OSSA (Open-Source Sorting Algorithm) is an interactive software for manual curation of neural spikes.
R codes for Impact of Sampling Rate in Connectivity Analysis (Human Brain Mapping)
This notebook loads a time series of gas concentrations in the air to train a recurrent neural network to predict the next hour of data
Implementation of LSTM time series tuned with GRU.
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