Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study

Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy. This survey explores the theoretical foundations of CS, including sensing...

Full description

Saved in:
Bibliographic Details
Main Authors: Lekshmi R. Chandran, Ilango Karuppasamy, Manjula G. Nair, Hongjian Sun, Parvathy Krishnan Krishnakumari
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/14/2/28
Tags: Add Tag
No Tags, Be the first to tag this record!