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Signal processing in noisy area: Due to the presence of large amplitude noise, it is difficult for existing signal processing techniques to process the noisy data in smart power grid with acceptable signal quality.
Many existing signal processing methods usually select a predefined basis function in advance.
Most of existing signal processing methods extract the damage-related features from the time frequency joint spectrum which requires a quite amount of effort.
Existing signal processing methods make use of amplitude thresholding and artificial neural networks to recognize spike signals, but are very vulnerable to noise and require a large amount of pre-training before being useful.
SSP designates a sparse model-based refinement of existing signal processing.
Due to the presence of large number of sensor nodes in smart grid, the existing signal processing techniques are unable to produce quality results.
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As a result, the difference between the measured chord length via the S-TOP and the bubble minor axis from visualized images was significantly improved from 42% (existing signal process) to 15% (with processing through the method).
The cylindrical surface spectrum can better reflect the existing operation of the digital signal processing such as demodulation and filtering more simply.
We show a promise of ETS approach towards better analysis of oscillatory non-stationary signals modeled by a time-varying sinusoid, when compared to existing uniform Nyquist-rate sampling based signal processing.
In a restricted setting, the proposed method is shown to produce theoretically zero reconstruction error estimating multiple dipoles even in the presence of strong correlations and unknown orientations, unlike a variety of existing Bayesian localization methods or common signal processing techniques such as beamforming and sLORETA.
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