A5102001094- Speech and Audio Processing
- Advanced Adaptive Filtering Techniques
- Blind Source Separation Techniques
- Sparse and Compressive Sensing Techniques
- Image and Signal Denoising Methods
- Music and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Speech Recognition and Synthesis
- Hearing Loss and Rehabilitation
- Advanced SAR Imaging Techniques
- Acoustic Wave Phenomena Research
- Advanced MRI Techniques and Applications
- Advanced Image Processing Techniques
- Advanced MIMO Systems Optimization
- Microwave Imaging and Scattering Analysis
- Geotechnical Engineering and Analysis
- Photoacoustic and Ultrasonic Imaging
- Indoor and Outdoor Localization Technologies
- Advanced Wireless Communication Techniques
- Geotechnical Engineering and Underground Structures
- Structural Health Monitoring Techniques
- Distributed Sensor Networks and Detection Algorithms
- Advanced Wireless Communication Technologies
- Cooperative Communication and Network Coding
- Radar Systems and Signal Processing
Chongqing Medical University
2022-2025
Weifang Medical University
2022-2025
Chongqing University of Posts and Telecommunications
2015-2024
China Academy of Information and Communications Technology
2024
Inner Mongolia Electric Power (China)
2023-2024
Fujian Women and Children Hospital
2024
Northwest Institute of Mechanical and Electrical Engineering
2023
Chongqing University
2022-2023
Huazhong University of Science and Technology
2018-2023
China Mobile (China)
2020-2022
False data injection (FDI) attacks, as a new class of cyberattacks, bring severe threat to the security and reliable operation smart grid by damaging state estimation power system. To address this issue, an extreme learning machine (ELM)-based one-class-one-network (OCON) framework is proposed for detecting FDI attacks in paper. Under framework, effectively detect bus-based identify bus node being attacked, subnets identification layer OCON adopt ELM algorithm accurately divide false normal...
This paper aims at achieving a joint estimation of direction-of-arrival (DOA) and array perturbations, such as gain phase uncertainty, mutual coupling, sensor location error, which deteriorate the performance DOA if not carefully handled. To that end, in this paper, perturbations represented by perturbation matrix multiplicative noise to manifold are then reformulated facilitate compensations. One great finding on is it sparse matrix, contains lot zero elements only few nonzero elements....
This paper addresses the problem of recovering a synthetic aperture radar (SAR) signal that is corrupted by both radio frequency interference (RFI) and wideband (WBI). The time–frequency domain utilized for SAR in form sparse representations. By doing so, unified framework allows one to suppress RFI WBI while can be developed. resulting an optimization efficiently solved using customized alternating direction method multipliers approach. Finally, simulation results are provided demonstrate...
This letter addresses the problem of synthetic aperture radar (SAR) image recovery in presence radio frequency interference (RFI), which degrades SAR quality if it is not effectively suppressed. In this letter, RFI modeled as superposition multiple complex sinusoids such that suppression transformed to a estimation problem. To accurately estimate amplitudes and their corresponding frequencies case low number range samples, sparsity domain successfully exploited. From estimated frequencies,...
Besides the genetic factors having tremendous influences on regulations of epigenome, microenvironmental have recently gained extensive attention for their roles in affecting host epigenome. There are three major types factors: microbiota-derived metabolites (MDM), components (MDC) and microbiota-secreted proteins (MSP). These can regulate physiology by modifying gene expression through highly interconnected epigenetic mechanisms (e.g. histone modifications, DNA non-coding RNAs). However, no...
The last decade has seen increased interest in environmental sound classification (ESC) due to the complexity and rich information of ambient sounds. state-of-the-art methods for ESC are based on transfer learning paradigms that often utilize learned representations from common image-classification problems. This paper aims determine effectiveness employing pre-trained convolutional neural networks (CNNs) audio categorization feasibility retraining. study investigated various...
Abstract Reprogramming in lipid metabolism is a hallmark of cancer, and targeting the pivotal enzyme fatty acid synthesis, acetyl‐CoA carboxylase 1 (ACC1), presents promising therapeutic strategy. Herein, nano‐cage encapsulated constructed by peptide‐modified erythrocyte membrane (NTA630‐NCs‐RBCM‐T) for delivering CRISPR‐Cas9 ACC1 inhibitors to enable dual‐layer inhibition ACC1, thereby optimizing effectiveness antitumor cascade therapy. NTA630‐NCs‐RBCM‐T are efficiently delivered cancer...
The joint association of dietary diversity (DD) and physical activity (PA) on anxiety, depressive symptoms, their comorbidity have not been extensively explored. Hence, this study focused examining association. Data in cross-sectional was derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Based self-reported score (DDS) questions were used to assess DD, ranging 0 8. DDS < 5 defined as insufficient DD ≥ sufficient DD. PA based a binary question. Anxiety assessed using...
The problem of synthetic aperture radar image recovery in the presence wideband interference (WBI) is investigated. Delayed versions a transmitted signal are utilized to construct dictionary which interest (SOI) has sparse representation. In this letter, WBI sparsely represented by time-frequency domain. By utilizing transform domains, joint estimation approach devised simultaneously perform suppression and SOI within an optimization framework. Based on separability property optimization,...
Interference is believed to be the most significant bottleneck for next-generation wireless networks achieve high throughout. alignment (IA), as a novel interference management scheme break through traditional cancelation, not only makes complete mitigation of possible but also achieves theoretical breakthrough in promoting network capacity region. In this paper, by combining space and time, we proposed linear space-time (LST) IA algorithm based on extension channel time dimension K-user...
The purpose of this study was to improve diagnostic and therapeutic standards by examining the clinical features, treatment, prognosis fetal meconium peritonitis (FMP), as well efficacy ultrasound for FMP.
The problem of blind image recovery using multiple blurry images the same scene is addressed in this paper. To perform deconvolution, which also called recovery, blur kernel and are represented by groups sparse domains to exploit local nonlocal information such that a novel joint deblurring approach conceived. In proposed approach, group regularization on both provided, where solution promoted -norm. addition, reweighted data fidelity developed further improve performance, weight determined...