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The discussion includes a comparison of frequency domain, time domain and hybrid modelling approaches to design methodology.
A finite domain time difference (FDTD) and second-derivative combined method is proposed for the evaluation of phase center in the Fresnel region of complex structure millimeter antennas.
Anodically formed films, their kinetics and chemical stability were discussed as a function of potential domain, time diffusing process, and hydroxide concentration.
According to the dynamic response parameters analyzed, these methods can be subdivided into modal analysis, frequency domain, time domain and impedance domain.
With the ultimate goal of devising effective absorbing boundary conditions (ABCs) for general anisotropic media, we investigate the accuracy aspects of local ABCs designed for the scalar anisotropic wave equation in the frequency domain (time harmonic case).
A photonic wire Bragg grating structure, integrated with fluidic channels and reservoirs for fluid sensing based on refractive index changes, has been designed using 3-D Finite Domain Time Difference (FDTD) method and fabricated using electron beam lithography and reactive ion etching on an Silicon-on-Insulator (SOI) material.
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With the ultimate goal of devising effective absorbing boundary conditions (ABCs) for heterogeneous anisotropic elastic media, we investigate the accuracy aspects of local ABCs designed for tilted elliptic anisotropy in the frequency domain (time-harmonic case).
With the ultimate goal of devising effective absorbing boundary conditions (ABCs) for general elastic media, we investigate the accuracy aspects of local ABCs designed for untilted non-elliptic anisotropy in the frequency domain (time-harmonic analysis).
To deal with the irregular and varying physical domain, time-dependent curvilinear coordinates are constructed and the corresponding tensor analysis is adopted in deriving the component form of the governing equations.
In addition to time and frequency domain, time-frequency based methods including wavelet, empirical mode decomposition (EMD) and time-frequency representation (TFR) are selected for detailed analysis.
The time-domain sensor observations are converted into their corresponding frequency domain time-series X m (k, l) via the STFT as X m ( k, l ) = ∑ τ = - L / 2 L / 2 - 1 win x m ( τ + k τ 0 ) e - jl ω 0 τ, m = 1, …, M, (2).
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