Unsupervised Contrastive Learning-Based Single Domain Generalization Method for Intelligent Bearing Fault Diagnosis
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DOI: 10.1109/jsen.2024.3507817
Abstract: In the field of fault diagnosis (FD), an increasing number of domain generalization (DG) methods are being employed to address domain shift issues. The vast majority of these methods focus on learning domain-invariant features from… read more here.
Keywords: target domain; domain samples; fault diagnosis; domain generalization ... See more keywords
Low-Complexity PTS Schemes Using Dominant Time-Domain Samples in OFDM Systems
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DOI: 10.1109/tbc.2017.2662228
Abstract: Partial transmit sequence (PTS) is a probabilistic peak-to-average power ratio (PAPR) reduction scheme for orthogonal frequency division multiplexing (OFDM) signals, but it requires an exhaustive search for the one with the minimum PAPR over all… read more here.
Keywords: dominant time; domain samples; time domain; complexity ... See more keywords
New PTS Schemes With Adaptive Selection Methods of Dominant Time-Domain Samples in OFDM Systems
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DOI: 10.1109/tbc.2018.2811624
Abstract: In orthogonal frequency division multiplexing (OFDM) systems, high peak-to-average power ratio (PAPR) of OFDM signals is one of the most important problems. As a solution to the PAPR problem in OFDM systems, the partial transmit… read more here.
Keywords: dominant time; domain samples; time domain; pts schemes ... See more keywords