A New Method for Signal and Image Analysis: The Square Wave Method

TL;DR

This paper introduces the Square Wave Method (SWM) and Square Wave Transform (SWT) for analyzing signals and images, demonstrating their application on electromyographic data and the Lenna image to illustrate the approach.

Contribution

It presents a novel signal and image analysis technique based on SWM and SWT, expanding the tools available for frequency domain analysis.

Findings

SWM and SWT effectively analyze electromyographic signals.

The method successfully processes the Lenna image.

Results demonstrate the potential of SWM in signal and image analysis.

Abstract

A brief review is provided of the use of the Square Wave Method (SWM) in the field of signal and image analysis and it is specified how results thus obtained are expressed using the Square Wave Transform (SWT), in the frequency domain. To illustrate the new approach introduced in this field, the results of two cases are analyzed: a) a sequence of samples (that is, measured values) of an electromyographic recording; and b) the classic image of Lenna.