A5007009241- Advanced Adaptive Filtering Techniques
- Blind Source Separation Techniques
- Speech and Audio Processing
- RFID technology advancements
- Antenna Design and Analysis
- Magnetic Field Sensors Techniques
- Magnetic Properties and Applications
- Space Satellite Systems and Control
- Non-Destructive Testing Techniques
- Inertial Sensor and Navigation
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Machine Fault Diagnosis Techniques
- Aerospace Engineering and Control Systems
- Advanced Antenna and Metasurface Technologies
Anhui University
2024
Yunnan Normal University
2013-2014
Inverted-F antenna loaded meander-line was studied by using High Frequency Structure Simulator V11(hereinafter referred to as HFSS V11). Research had focused on main performance parameters of which different number meander-lines and height meander-lines. According research, inverted-F antenna, such resonant frequency, resonance impedance S 11 parameter point could be adjusted effectively. miniaturized effectively selecting appropriate The technology is a kind simple effective way that can...
It presents the Multi-level filters idea of adaptive noise cancellation system based on fact that cant filter out signal completely. According to linear combination and variable step-size LMS algorithm, it analyzes effects two level filters. Theory analyzing simulation results prove multi-level can get a better filtering effect than one-filter, which improves performance in terms fast convergence speed, tracking speed low maladjustment error. And anti-noise materials with has good de-noising...
A variable step long LMS algorithm based on Bessel function was put forward, which established the functional relationship between size factor and error signal. And this would be applied to adaptive noise canceller in order improve ability of uncorrelated suppression. This has a larger step-size during initial convergence stage or unknown system parameters change get faster time tracking speed. Moreover, it adjusts small achieve very steady-state maladjustment after algorithm.