  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).
