Analysis of time series and signals using the Square Wave Method
Numerical Analysis
2016-08-29 v4
Abstract
The Square Wave Method (SWM), previously introduced for the analysis of signals and images, is presented here as a mathematical tool suitable for the analysis of time series and signals. To show the potential that the SWM has to analyze many different types of time series, the results of the analysis of a time series composed of a sequence of 10,000 numerical values are presented here. These values were generated by using the Mathematical Random Number Generator (MRNG).
Cite
@article{arxiv.1608.02166,
title = {Analysis of time series and signals using the Square Wave Method},
author = {Osvaldo Skliar and Ricardo E. Monge and Sherry Gapper},
journal= {arXiv preprint arXiv:1608.02166},
year = {2016}
}
Comments
22 pages, 6 figures. Supplementary data is available here: http://www.appliedmathgroup.org/en/data.html