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The simulations allow one to describe the process of linear conversion of HF electromagnetic waves into electrostatic waves.
It has been proposed and analyzed that by biasing the Mach Zehnder modulators (MZMs) at null point, a linear conversion between the RF signal and the optical field signal can be achieved.
In this paper, we present a new methodology which applies a previously published linear conversion method of raw data to a single below-canopy image to obtain unbiased estimates of canopy gap fraction.
The waves, launched from the lower boundary normally or at a specified angle on a layer of a magnetoactive plasma, can undergo linear conversion of the incident O-mode into a Z-mode at appropriate locations in an inhomogeneous prescribed plasma density.
MV projections are converted to kV projections using a linear conversion function.
These linear conversion methods produce over-smoothed spectral envelopes leading to muffled synthesized speech [3, 4].
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Data needed to determine them is summarized (concentration of protein in commercial enzyme preparation, activity measurements in intervals where linear conversion-time and activity-mass/concentration of protein responses are verified, protein lost in supernatant and CLEAs washing solutions), and they will be the focus of the following sections.
The cause of this discrepancy appears to be the fact that for both A1C and fructosamine, the earlier study included data obtained by a variety of different methods (though standard linear conversions were used to minimize the influence of this heterogeneity).
Frequency based conversion mechanisms however suffer from the non-linear conversion of the sensor signal into a frequency.
The complete analytical description of the non-linear conversion process is based on a combination of two asymptotic solutions.
Given a pair of speech samples, clean speech and corresponding reverberant speech, DAE learns the non-linear conversion function that converts reverberant speech features into clean speech.
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