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This paper describes guide-wave characteristics of graphene based waveguides. The model of graphene conductivity is derived at first. The guided wave and the characteristics of PEC-graphene and graphene-graphene waveguides are studies in details with boundary condition defined. The dispersion equation is then derived by solving the Maxwell's equations. The propagation constant is shown with the transverse...
Since high-speed and high-resolution ADCs are needed in communication systems, single ADC can hardly achieve. This paper proposed a timing mismatch estimation and calibration algorithm in Time-Interleaved ADC (TIADC). A multistage differentiator-multiplier cascade (DMC) structure is disclosed for timing mismatch correction. As the present estimation and calibration method, the procedure can be performed...
This paper introduced Hexagram converter - a new type of multilevel converter for reactive power compensation and harmonics elimination at Medium-Voltage (MV) grids to improve the power quality. The Hexagram converter is composed of six three-phase two-level Voltage Source Converters (VSCs) interconnected through the inductors, and has the advantages of modular structure with easy construction, even...
A new Hexagram Active Power Filter (APF) is proposed for harmonics elimination at medium-voltage grids. The new converter is composed of six interconnected three-phase standard two-level voltage source converter modules with advantages including modular structure with easy construction and maintenance, no voltage unbalance problem, reduced voltage stress, symmetrical structure with automatic and equal...
A novel bandpass filter (BPF) is designed using the substrate integrated waveguide cavity loaded with a dielectric rod. The resonant frequencies and unloaded Q-factor are determined by a set of analytical equations. Using the technique of dielectric loading, the proposed BPF has the advantages of compactness, good spurious suppression characteristics, low insertion loss, and low cost, which is demonstrated...
Quantum artificial neural network (QANN) is one of the new paradigms built upon the combination of classical neural and quantum computations. It has great values for theoretic study and potentials to applications. In this paper, an intrinsic similarity of quantum theory and artificial neural network (ANN) theory has been highlighted and analyzed. The dynamic features of QANN are also discussed in...
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