Sensor Signal and Information Processing II [Editorial]

Woo, Wai Lok and Gao, Bin (2020) Sensor Signal and Information Processing II [Editorial]. Sensors, 20 (13). p. 3751. ISSN 1424-8220

[img]
Preview
Text
sensors-20-03751.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (219kB) | Preview
Official URL: https://doi.org/10.3390/s20133751

Abstract

This Special Issue compiles a set of innovative developments on the use of sensor signals and information processing. In particular, these contributions report original studies on a wide variety of sensor signals including wireless communication, machinery, ultrasound, imaging, and internet data, and information processing methodologies such as deep learning, machine learning, compressive sensing, and variational Bayesian. All these devices have one point in common: These algorithms have incorporated some form of computational intelligence as part of their core framework in problem solving. They have the capacity to generalize and discover knowledge for themselves, learning to learn new information whenever unseen data are captured.

Item Type: Article
Uncontrolled Keywords: Sensors; phase arrays; signal processing; image processing; 3D processing; deep learning; machine learning; compressive sensing; wireless communication
Subjects: G500 Information Systems
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 06 Jul 2020 10:12
Last Modified: 06 Jul 2020 10:15
URI: http://nrl.northumbria.ac.uk/id/eprint/43662

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics