A5085535523- Advanced Adaptive Filtering Techniques
- Speech and Audio Processing
- Acoustic Wave Phenomena Research
- Metal Extraction and Bioleaching
- Extraction and Separation Processes
- Cryospheric studies and observations
- Minerals Flotation and Separation Techniques
- Climate change and permafrost
- Hearing Loss and Rehabilitation
- Winter Sports Injuries and Performance
- Adsorption and biosorption for pollutant removal
- Arctic and Antarctic ice dynamics
- Advanced Photocatalysis Techniques
- Layered Double Hydroxides Synthesis and Applications
- ZnO doping and properties
- Corrosion Behavior and Inhibition
- Control Systems and Identification
- Magnesium Alloys: Properties and Applications
- Gas Sensing Nanomaterials and Sensors
- Phosphorus and nutrient management
- Nanomaterials for catalytic reactions
- Blind Source Separation Techniques
- Structural Health Monitoring Techniques
- Aeroelasticity and Vibration Control
- TiO2 Photocatalysis and Solar Cells
Nanyang Technological University
2018-2025
Nanjing Institute of Railway Technology
2025
Ministry of Education
2025
Universidad del Noreste
2022-2025
Hohai University
2024
Nanjing University
2021-2024
Hunan Institute of Science and Technology
2024
Northeastern University
2012-2023
Ministry of Education of the People's Republic of China
2021-2022
State Key Laboratory of Vehicle NVH and Safety Technology
2022
Practical active noise control (ANC) systems, like the cancellation headphone, usually adopt a filter with preset coefficients to achieve satisfactory reduction performance for dynamic and higher robustness. In this strategy, selecting appropriate different types of is critical performance, selection mechanism typically determined by trial error. Hence, article proposes computation-efficient one-dimensional convolutional neural network capable most suitable pre-trained each distinct primary...
Selective Fixed-filter Active Noise Control (SFANC) is limited by its selection of a single candidate from pre-trained control filters. In contrast, Generative (GFANC) addresses this limitation employing an adaptive combination sub filters to generate more suitable for different primary noises. However, GFANC solely relies on the information current noise frame filter, resulting in potential inaccuracies when dealing with dynamic Therefore, we propose GFANC-Kalman approach that integrates...
Photoplethysmography (PPG) is commonly used to gather health-related information but highly affected by motion artifacts from daily activities. Inspired the strong denoising capabilities and generalization of diffusion probabilistic models, this paper proposes a novel PPG method using model reduce impact these artifacts. While typical models handle Gaussian noises, often involve non-Gaussian noise. To address this, proposed incorporates noisy signals into both reverse processes, allowing...
This research study delves thoroughly into the relationship between Applied Behavior Analysis (ABA) and Authoritarian Parenting Style in setting of autism spectrum disorder (ASD) children. Through comprehensive analysis relevant literature research, ABA intervention is practice applying basic behavioral concepts that have been shown to be effective changing problematic behaviors improving adaptive communicative skills among ASD aligns with key principles Authoritative Parenting, high...
Output saturation, mainly caused by the power amplifier, is a critical issue influencing performance and stability of an adaptive system, such as in active noise control. In this paper, quadratically constrained quadratic program (QCQP) defined to achieve optimal control under averaging-output-power constraint, which ensures output system operates linearly hence, avoids saturation. To solve QCQP problem recursively practice, paper utilizes one leaky-based filtered-x least mean square...
Due to their computational efficiency, least mean square (LMS)–based algorithms are still widely utilized achieve optimal control in active noise (ANC) applications. Real-world implementation of advanced ANC functionalities, such as selective cancellation frequencies, is nonetheless hampered by complexity trade-offs, especially with computationally-expensive frequency-domain approaches. Prevailing time-domain adaptive – proposed alleviate complexities from transformation continue incur...