A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform

To more completely extract useful features from low frequency oscillation (LFO) signals, a time-frequency analysis method using resonance-based sparse signal decomposition (RSSD) and a frequency slice wavelet transform (FSWT) is proposed. FSWT can cut time-frequency areas freely, so that any band co...

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Bibliografische gegevens
Hoofdauteurs: Yan Zhao, Zhimin Li, Yonghui Nie
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2016-03-01
Reeks:Energies
Onderwerpen:
low-frequency oscillation
time-frequency analysis
resonance-based sparse signal decomposition
frequency slice wavelet transform
Hilbert transform
Online toegang:http://www.mdpi.com/1996-1073/9/3/151
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