Decipher and classify accelerometer and gyroscope signal patterns of different activities collected from smartphone sensors.

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.

Workspace for applied problems of probability theory & mathematical statistics & modelling class

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.

Walkthrough of the YIN algorithm for pitch detection from musical signals.

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.

Code computing (Generalized) Kendall's tau and its jackknife variance under serial dependence.

The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would mod…

“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.

A simple Automatic Speech Recognition system made for a course project.