A5101960457- Speech and Audio Processing
- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- Tensor decomposition and applications
- Robotic Mechanisms and Dynamics
- Phonocardiography and Auscultation Techniques
- Robot Manipulation and Learning
- Atmospheric and Environmental Gas Dynamics
- Ultrasonics and Acoustic Wave Propagation
- Teleoperation and Haptic Systems
- Atmospheric chemistry and aerosols
- Robotic Path Planning Algorithms
- Speech Recognition and Synthesis
- Atmospheric aerosols and clouds
- Hearing Loss and Rehabilitation
- Advanced Algorithms and Applications
- Adaptive Control of Nonlinear Systems
- Sparse and Compressive Sensing Techniques
Guangdong University of Technology
2014-2025
Guangzhou Huali College
2025
Guangzhou University
2024
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality
2021
Abstract. The new-generation atmospheric environment monitoring satellite DQ-1, launched successfully in April 2022, carries the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol cloud optical properties with high accuracy. ACDL/DQ-1 a high-spectral-resolution lidar (HSRL) that separates molecular backscatter signals using an iodine filter has 532 nm polarization detection dual-wavelength at 1064 nm, can be utilized to derive properties. methods have...
Underdetermined blind source separation (UBSS) is a hot and challenging problem in signal processing. In the traditional UBSS algorithm, number of signals often assumed to be known, which very inconvenient practice. addition, it more difficult obtain accurate estimation mixing matrix underdetermined case. However, this information has great influence on results, can easily lead poor performance. paper, novel algorithm presented carry out combined task. First, proposed we design gap-based...
Underdetermined blind source separation (UBSS) is a hot topic in signal processing, which aims at recovering the signals from number of observed mixtures without knowing mixing system. Recently, expectation-maximization algorithm shows great potential UBSS. However, final results depend strongly on parameter initialization, leading to poor performance. In this paper, we propose an effective that combines tensor decomposition and nonnegative matrix factorization (NMF). proposed algorithm,...
Underdetermined blind source separation is to recover the signals from observed without prior knowledge of mixing channel. In signal processing, it an open problem attracted attention more and researchers. this paper, we presents a fast effective time-frequency algorithm separate speech in underdetermined mixture case. proposed algorithm, time-domain are transformed frequency-domain by using short-time Fourier transform (STFT). Then matrix estimated K-means clustering, sources separated...
In a sheet metal parts welding shop, traditional robot path-planning methods prove inadequate for achieving automatic loading and unloading of disordered workpieces in the deep material frames. Therefore, this paper proposes robotic motion planning framework Deep-frame Disordered Workpiece Grasping (DDWG), ensuring efficient tasks with high efficiency collision-free operations. conjunction actual DDWG scenario, an Oriented Bounding Boxes (OBB) based hierarchical enclosing box algorithm is...
With the increasing automation of mobile phone assembly, industrial robots are gradually being used in production lines for loading and unloading operations. At present, mainly online teaching mode, which robot’s movement path set by advance then repeat point-to-point operation. This mode operation is less flexible requires high professionalism offline programming. When positioning grasping different materials, adjustment time long, affects efficiency changeover. To solve problem poor...
Separation of heart sound signals from the recorded mixtures has become a hot research topic in clinical diagnosis diseases. To better understand current health status patients, it is great significance to develop intelligent auscultation methods improve effectiveness hearing and assist clinicians practice. In this paper, an optimization convolutive blind source separation algorithm utilizing independent vector analysis proposed for mixtures. algorithm, denoising approach firstly used reduce...