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April 3, 2024
This study identifies the feasibility of leveraging deep learning anomaly detection to identify event-driven traveling ionospheric disturbances (TIDs). DR. JIHYE PARK, FIONA LUHRMANN, DR. WENG-KEEN WONG, OREGON STATE UNIVERSITY Ionospheric responses to various geophysical events have been studi
December 25, 2023
:guitar::magic_wand: DSP made easy. The Chata programming language! :long_drum: - GitHub - Slackadays/Chata: :guitar::magic_wand: DSP made easy. The Chata programming language! :long_drum:
July 10, 2023
Concise summary of the Hilbert transform: mathematics, effects on signals, and applications in telecommunications.
March 9, 2022
With the wide applications of the asynchronous induction motor (IM), various kinds of the electrical and the mechanical faults have been appearing, the main ones of which are the inter-turn short circuit of the stator, the broken-bar of the rotor and the air-gap eccentricity. This paper analyzes the current and the torque of the IM under fault conditions as well as providing fault components. Hilbert transform and the support vector machine (SVM) multi-classification method are applied to improv...