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eess.SP2025
Atomic Norm Soft Thresholding for Sparse Time-frequency Representation
Zongyue Yang, Baoqing Ding, Shibin Wang +2
Time-frequency (TF) representation of non-stationary signals typically requires the effective concentration of energy distribution along the instantaneous frequency (IF) ridge, whi…
eess.SP2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao, Tianfu Li, Jingyao Wu +4
With the development of deep learning (DL) techniques, rotating machinery intelligent diagnosis has gone through tremendous progress with verified success and the classification ac…