Obtained signals are then projected in a time-frequency plane using the S-Transform with a compact support kernel improving the time-frequency resolution, energy concentration and robustness to noise. In this plane, the disturbances are localized using Shannon energy of local spectra.
Feb 2, 2022
S-transform based on compact support kernel - ScienceDirect.com
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In this paper, the use of a Compact Support Kernel (CSK) instead of the Gaussian window in the S-transform is proposed. The CSK is derived from the Gaussian but ...
In this paper, the use of a Compact Support Kernel (CSK) instead of the Gaussian window in the S-transform is proposed. The CSK is derived from the Gaussian but ...
In this study, a Compact Support Kernel (CSK) is used instead of the Gaussian window in the S-transform.The width of the CSK is controlled by parameters making ...
Oct 22, 2024 · In this paper, the use of a Compact Support Kernel (CSK) instead of the Gaussian window in the S-transform is proposed.
In this paper, the use of a Compact Support Kernel (CSK) instead of the Gaussian window in the S-transform is proposed. The CSK is derived from the Gaussian ...
In this paper, a novel method for power quality (PQ) events recognition is presented. Nine types of PQ events consisting of single and multi-stage disturbances ...
Sep 29, 2020 · This paper presents a modified S-transform (ST) based on a compactly supported kernel. A version of Cheriet-Belochrani (CB) kernel is chosen for this purpose.
The authors [14] used ST with a compact support kernel and XGBoost to achieve 99.72% classification accuracy in high additive white Gaussian noise level, but ...
Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising · Riesz transform via heat kernel and ...