READ ME File For 'Dataset in support of the Southampton doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware’’

Dataset DOI:https://doi.org/10.5258/SOTON/D2528 

ReadMe Author: Jiaqi Wang, University of Southampton, orcid.org/0000-0002-2503-1001

This dataset supports the thesis entitled
Ultra-Fine Signal Classification Using Memristor-Enabled Hardware

AWARDED BY: University of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA
This dataset contains the experimental data that is generated from Cadence Virtuoso and embedded device in the forms of .cvs and .txt. The data can be assessed through a text editor, Excel and MATLAB.

The dataset contains four main folders.

1. Each folder is entitled by the Chapter and a brief description of the chapter. For example, folder ‘Chapter3_Memristor’ indicates all the data in this folder has been applied in Chapter 3 in the thesis.

2. There exists sub-folders inside the top chapter folder, which are named with the index of the figure in the thesis. For instance, the sub-folder named ‘Figure 5.2’ indicates that all the data in this folder is used to generate Figure 5.2 in the thesis.


Date of data collection: 2018 - 2023

Licence: CC BY

Date that the file was created: February 2023