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...
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| 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
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| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/14/2/28 |
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