WVDNet: Time-frequency analysis via semi-supervised learning
The bilinear based method is one of the commonly used tools in time-frequency analysis
(TFA) fields. However, it suffers from the trade-off of high resolution and cross-term …
(TFA) fields. However, it suffers from the trade-off of high resolution and cross-term …
Crossterm-free time-frequency representation exploiting deep convolutional neural network
Bilinear time-frequency (TF) analyses provide high-resolution time-varying frequency
characterization of nonstationary signals. However, because of their bilinear natures, such …
characterization of nonstationary signals. However, because of their bilinear natures, such …
[LIVRE][B] Strategies for Sparsity-Based Time-Frequency Analyses
S Zhang - 2021 - search.proquest.com
Nonstationary signals are widely observed in many real-world applications, eg, radar, sonar,
radio astronomy, communication, acoustics, and vibration applications. Joint time-frequency …
radio astronomy, communication, acoustics, and vibration applications. Joint time-frequency …
[PDF][PDF] Crossterm-Free Time-Frequency Representation Exploiting Deep Convolutional Neural Network
MSRP Shuimei Zhang, YD Zhang - yiminzhang.com
Bilinear time-frequency (TF) analyses provide high-resolution time-varying frequency
characterization of nonstationary signals. However, because of their bilinear natures, such …
characterization of nonstationary signals. However, because of their bilinear natures, such …
[CITATION][C] Strategies for Removing Non-stationary Effects in Machine Diagnostics using Model-driven and Artificial Intelligence Techniques
MD Choudhury - 2021 - ResearchSpace@ Auckland