Results 291 to 300 of about 5,137,492 (319)

Approximating the Performance of a Time-Domain Pulsed Induction EMI Sensor with Multiple Frequency-Domain FEM Simulations for Improved Modelling of Arctic Sea-Ice Thickness. [PDF]

Sensors (Basel)
Lawless B, Hills D, Fletcher AD, Marsh LA.   +3 more
europepmc   +1 more source

A multi-scale dual-stream fusion network for high-accuracy sEMG-based gesture classification. [PDF]

Sci Rep
He D, Liu W, Yan H, Zhao Y, Jiang B.
europepmc   +1 more source

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FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time–Frequency Domain for Imbalanced Bearing Fault Diagnosis

IEEE Transactions on Instrumentation and Measurement, 2023
For imbalanced bearing fault diagnosis, generative adversarial networks (GANs) are a common data augmentation (DA) approach. Nevertheless, current GAN-based methods cannot update the generator from time–frequency domain simultaneously, downgrading the ...
Hao Wang, Peng Li, Xun Lang, Dapeng Tao, Jun Ma, Xiang Li   +5 more
semanticscholar   +1 more source

Time–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals

IEEE Transactions on Instrumentation and Measurement, 2022
The damage to the heart valves causes heart valve disorders (HVDs). The detection of HVDs is crucial in a clinical study as these diseases may cause congestive heart failure, hypertrophy, and stroke.
Jay Karhade, Shaswati Dash, S. Ghosh, Dinesh Kumar Dash, R. Tripathy   +4 more
semanticscholar   +1 more source

TFPSNet: Time-Frequency Domain Path Scanning Network for Speech Separation

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
Speech separation has been very successful with deep learning techniques. In this paper, we propose time-frequency (T-F) domain path scanning network (TFPSNet) for speech separation task.
Lei Yang, Wei Liu, Weiqin Wang
semanticscholar   +1 more source

An Efficient Cross-terms Suppression Method in Time-Frequency Domain Reflectometry for Cable Defect Localization

IEEE Transactions on Instrumentation and Measurement, 2022
Time-frequency domain reflectometry is a highly sensitive method to locate the defects of cables. However, there are cross-terms when a multi-component signal is converted to time-frequency domain by the conventional Wigner-Ville distribution, which will
X. Zou, H. Mu, Hao Zhang, Lan-Qing Qu, Yi-Fan He, Guangcai Zhang   +5 more
semanticscholar   +1 more source

A Novel Dampness Diagnosis Method for Distribution Power Cables Based on Time-Frequency Domain Conversion

IEEE Transactions on Instrumentation and Measurement, 2022
Dampness invasion of power cable joints may lead to cable insulation degradation gradually. Once the cable joint is severely damp, it rapidly leads to breakdown failure for the power cable insulation system and finally results in catastrophic cable ...
Guangya Zhu, Zhao Liu, Kai Zhou, Zijian Wang, Lu Lu, Yuan Li, Pengfei Meng   +6 more
semanticscholar   +1 more source

Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network

IEEE Transactions on Instrumentation and Measurement, 2022
The phonocardiogram (PCG) signal deciphers the mechanical activity of the heart, and it consists of the fundamental heart sounds (FHSs) (S1 and S2), murmurs, and other associated sounds (S3 and S4).
S. Ghosh, R. N. Ponnalagu, R. Tripathy, G. Panda, R. B. Pachori   +4 more
semanticscholar   +1 more source

SAR Interference Suppression Algorithm Based on Low-Rank and Sparse Matrix Decomposition in Time–Frequency Domain

IEEE Geoscience and Remote Sensing Letters, 2022
Radio frequency electromagnetic interference is a relatively common phenomenon, especially for synthetic aperture radar (SAR) systems working in P- or L-band.
Qiyuan Lyu, B. Han, Guangzuo Li, Wei Sun, Zongxu Pan, W. Hong, Yuxin Hu   +6 more
semanticscholar   +1 more source