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There are many frequency models which are now used for determining hydrologic frequency of flood.
This study analyzes low frequency models, control design and operation in weak grid conditions.
In modeling hydrological phenomena, statistical distributions are commonly used as frequency models to fit hydrological data.
A new multi-harmonic frequency response function estimator that utilizes discrete frequency models for non-linear systems is introduced here.
Four high frequency models are developed describing asymptotic regimes connected with vibration within the vicinity of the thickness resonances.
In the foundry world, high frequency models are typically empirical in nature and significantly lag their low frequency counterparts in terms of availability.
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First, a traditional single frequency model (SFM) is used.
We also adjusted for all covariates except for headache attack frequency (Model I) and then again by including headache attack frequency (Model II).
In [23, 24], Khrennikov outlines both the -adic frequency model and a measure-theoretic approach.
However, this condition is not satisfied in the case of random frequency model.
Both coders employ context frequency modeling of quantized DCT coefficients and deblocking at decompression stage [42].
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