Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...
Abstract: This paper introduces a novel methodology for fault diagnosis in industrial robots, utilizing a combination of Single Spectrum Analysis (SSA) and Sparse Maximum Harmonics-Noise-Ratio ...
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