10 citations · 20 across the 7 of their papers we have counts for
7 papers
Short-time Variational Mode Decomposition
Hao Jia, Pengfei Cao, Tong Liang +7
Variational mode decomposition (VMD) and its extensions like Multivariate VMD (MVMD) decompose signals into ensembles of band-limited modes with narrow central frequencies. These m…
Enabling Temporal-Spectral Decoding in Pre-movement Detection
Hao Jia, Feng Duan, Yu Zhang +2
Non-invasive brain-computer interfaces help the subjects to control external devices by brain intentions. The multi-class classification of upper limb movements can provide externa…
Improving Pre-movement Pattern Detection with Filter Bank Selection
Hao Jia, Zhe Sun, Feng Duan +3
Pre-movement decoding plays an important role in movement detection and is able to detect movement onset with low-frequency electroencephalogram (EEG) signals before the limb moves…
Towards Multi-class Pre-movement Classification
Hao Jia, Zhe Sun, Feng Duan +3
In non-invasive brain-computer interface systems, pre-movement decoding plays an important role in the detection of movement before limbs actually move. Movement-related cortical p…
L3C-Stereo: Lossless Compression for Stereo Images
Zihao Huang, Zhe Sun, Feng Duan +3
A large number of autonomous driving tasks need high-definition stereo images, which requires a large amount of storage space. Efficiently executing lossless compression has become…
Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization
Jin Zhang, Fan Feng, Pere Marti-Puig +4
Empirical mode decomposition (EMD) has developed into a prominent tool for adaptive, scale-based signal analysis in various fields like robotics, security and biomedical engineerin…
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution
Zihao Huang, Chao Li, Feng Duan +1
It is a challenging task to restore images from their variants with combined distortions. In the existing works, a promising strategy is to apply parallel "operations" to handle di…