Time-Frequency Analysis of Power-Quality Disturbances via the Gabor–Wigner Transform

By Soo-Hwan Cho, G. Jang, Sae-Hyuk Kwon. IEEE Transactions on Power Delivery, 2010

179 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/6e87ac7b51af6f567048c391a64a542f5b635a13

How researchers see this paper

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In Electrical and Electronic Engineering

1. René de Jesús Romero-Troncoso
2. Arturo Garcia-Perez
3. Martin Valtierra-Rodriguez
4. Roque Alfredo Osornio-Rios

Citations in the corpus

• Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks (2014, methodology): “as short-time Fourier transform (STFT), wavelet transform (WT), S-transform, Kalman filter, and Gabor–Wigner transform for detection and classification of PQ disturbances have been published over the past years [3]–[11].”