A High-Resolution Algorithm for Supraharmonic Analysis Based on Multiple Measurement Vectors and Bayesian Compressive Sensing

A High-Resolution Algorithm for Supraharmonic Analysis Based on Multiple Measurement Vectors and Bayesian Compressive Sensing

Supraharmonics emitted by electrical equipment have caused a series of electromagnetic interference in power systems. Conventional supraharmonic analysis algorithms, e.g., discrete Fourier transform (DFT), have a relatively low frequency resolution with a given observation time. Our previous work su...

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Bibliographic Details
Main Authors: Shuangyong Zhuang, Wei Zhao, Qing Wang, Zhe Wang, Lei Chen, Songling Huang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
supraharmonic
Bayesian compressive sensing (BCS)
multiple measurement vectors (MMV)
relevance vector machine (RVM)
high-resolution
Online Access:https://www.mdpi.com/1996-1073/12/13/2559

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