A5033469457- Radar Systems and Signal Processing
- Advanced Image and Video Retrieval Techniques
- Advanced SAR Imaging Techniques
- Advanced Algorithms and Applications
- Wireless Communication Networks Research
- Millimeter-Wave Propagation and Modeling
- Metamaterials and Metasurfaces Applications
- Advanced Measurement and Detection Methods
- Advanced MIMO Systems Optimization
- Antenna Design and Optimization
- Terahertz technology and applications
- Antenna Design and Analysis
- Manufacturing Process and Optimization
- Additive Manufacturing and 3D Printing Technologies
- Advanced Data Compression Techniques
- Additive Manufacturing Materials and Processes
- Digital Filter Design and Implementation
- Robotics and Sensor-Based Localization
- Hand Gesture Recognition Systems
- Embedded Systems Design Techniques
- Full-Duplex Wireless Communications
- Video Surveillance and Tracking Methods
- Microwave Imaging and Scattering Analysis
- Advanced Computational Techniques and Applications
- Advanced Steganography and Watermarking Techniques
Hong Kong University of Science and Technology
2024-2025
University of Hong Kong
2024-2025
Communication University of China
2013-2025
State Key Laboratory of Media Convergence and Communication
2023
Guilin University of Electronic Technology
2007-2021
Zhejiang Radio and Television University
2007
Academy of Broadcasting Science
2003-2004
As a promising technology in the next generation mobile network, millimeter-wave (mmWave) communication can mitigate spectrum crunch of improving network capacity by exploiting large underutilized bands mmWave frequencies. The hybrid (analog/digital) beamforming multi-data streams are widely used to further efficiency relay system when faced with complex environment or long distance communication. This paper investigates scheme for decode-and-forward (DF) massive multiple-input...
We experimentally demonstrated a tunable terahertz bandpass filter based on microelectromechanical systems (MEMS) reconfigurable metamaterials. The unit cell of the consists two split-ring resonators (SRRs) and movable bar. Initially, bar situates at center cell, has passbands whose central frequencies locate 0.65 0.96 THz. intensity can be actively modulated by bar, maximum modulation depth 96% is achieved mechanism tunability investigated using finite-integration time-domain method. result...
We experimentally demonstrate a broadband terahertz (THz) intensity modulator operating at low current and frequency range. The consists of VO2 meander–wire hybrid metamaterials. measured 3-dB bandwidth for normal incidence is 0.5 THz, while the maximum modulation depth 99% achieved 0.28 A. physical mechanism device's electrical tunability attributed to an ohmic-heating-induced transition. An equivalent circuit model proposed upper cut-off frequency. This scheme paves way full electric...
In this article, a tensor-based angle estimation algorithm is proposed for bistatic multiple-input multiple-output (MIMO) radar systems with multislot gain-phase error (MSGPE). First, the received signals are constructed into complex-valued third-order parallel factor model that contains information, such as transmit MSGPE, receive directions of departure (DODs), and arrival (DOAs). Then, two-stage antenna arrays MSGPE. first stage, MSGPE information part separated by least-squares...
The surface Electromyographic (sEMG) based gesture recognition has been widely adopted in human–computer interaction. Traditional machine learning algorithms, such as Random Forest, SVM and KNN, have employed for sEMG-based recognition. Even though these traditional methods achieve high classification accuracy, few of reported works consider the robustness against different forearm postures, which often happens real application scenario. On other side, since sEMG signals represent sum...
For multiple-antenna systems, the technologies of joint symbol and channel parameter estimation have been developed in recent works. However, existing a number problems, such as performance degradation large cost prior information. In this paper, tensor space-time coding scheme systems was considered. This allowed spreading, multiplexing, allocating information symbols associated with multiple transmitted data streams. We showed that received signal formulated third-order satisfying Tucker-2...
To solve the problem of high computational complexity and real-time poor SIFT(Scale Invariant Feature Transform) algorithm, a parallel data streams RGF-SIFT(Recursive Gaussian Filter-SIFT) algorithm based on DSP multi-core processor is proposed. The proposed uses forth-order recursive filter to replace linear filtering SIFT algorithm. Then four modules RGF-SIFT computing tasks are assigned multiple core for processing, implemented synchronization multicore through inter-processor...
In this paper, for unmanned aerial vehicle (UAV) assisted communication systems, we propose a robust tensor-based receiver joint channel estimation and symbol detection. Firstly, at the source node (SN), proposed adopts superposition transmitting scheme information pilot signal. Then, UAV amplifies forwards received signals to destination (DN), DN are constructed fourth-order tensor model. Finally, algorithm is developed fitting model The can effectively estimate channels detect symbols....
For matching visible image with many similar regions, the SURF algorithm based on Euclidean distance has disadvantages of limited constrains, higher false rate and difficult to remove error points effectively. To resolve these shortcomings above, a robust was proposed in which combined measure Cosine Similarity geometry consistency were adopted dispose multidimensional feature vectors. We compared original that only use Nearest Neighbor (NN) Searching Random Sample Consensus (RANSAC)...
This paper proposes an effective algorithm for gain-phase error (GPE) and angle estimation in multiple-input multiple-output (MIMO) radar. First, the received signals are constructed into a third-order tensor model containing information such as GPE transmitting arrays (Tx) receiving (Rx), directions-of-departures (DODs) directions-of-arrivals (DOAs). Then, tensor-based two-stage to estimate angles is developed. In first stage, obtained by least squares Khatri-Rao factorization (LS-KRF)...
Abstract Directed energy deposition (DED) is a prominent additive manufacturing technology for metal parts. High-fidelity simulation can reconstruct the DED process but typically too computationally complex control and planning. On other hand, experimental-based models only consider static relationship between printed bead geometry printing parameters, leading to significant deviations. To address this issue, we propose dynamic model that correlates such as rate moving speed, with geometry,...
In this paper, we propose a novel and robust local image descriptor to resolve the problem of complex illumination variations on low-level feature matching. Many classic descriptors are invariant linear or monotonous intensity shift, but cannot handle more nonlinear changes, which often occur due different time exposure, viewing direction, types light-surface interactions other varying brightness changes. The presented that extracts histograms oriented gradients Uniform Symmetric-Local...
This paper presents a method for improving the key SIFT algorithm on multi-core DSP system. The hardware system has 8 cores and abundant resources it suits calculation of quantity big data algorithm. platform CCS development environment inter-communicate by simulation to carry out transplant optimization. divided into ma n y blocks execution at same time this way is most important optimization characteristics in paper. Data Partitioning, Algorithm Module Partition, Inter-processor...