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The bispectrum of a one dimensional random process is a function of two frequencies as shown above.
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The bispectrum is a complex-valued function of two frequency variables and retains relative phase information between Fourier components.
The set of frequency envelopes can be considered as a function of two parameters: sample number and frequency.
The loading on the bridge pavement used by them was a deterministic harmonic function composed of two different frequencies as given below: f(t) = 121,,,[1 - 0.1sin (10rho pi t) + 0.05sin (50pi t)]{text{kN}}.
Spatial resolution is a function of three factors: physical pixel size, scan thickness, and scan frequency (pitch).
However, the determination of the two frequencies corresponding to a given power ratio value requires numerical interpolations of experimental discrete data of frequency response functions.
In this work, the examination of the distorted Nyquist plots of the frequency response functions of two interfering modes is carried out.
In acoustic experiments, the frequency response functions of two simplified rectangular double-cavity models and a half-scaled car model made out of Plexiglas are measured and compared for different cross-sectional areas and positions of a neck connecting two cavities.
In Fig. 2, the values of ACS and TSCS are plotted as a function of frequency for two graphene reflectors with the fixed size of d = 200 μm (small-size reflector) and d = 1000 μm (medium-size reflector), respectively, the both having the same fixed focal ratio f/d.
The spectrum estimated by the MSR algorithm is an energy distribution in the four-dimensional spectral domain (as a function of the frequencies and the three components of the wavevectors).
A function of arc distance between two frequency bands are also introduced which turns out to be useful in the determination of sampling frequency and design of digital filters.
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