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Because this method utilizes the poles of the generating system of the AM-FM signal, the distortions on the amplitude, like noise, affect the estimation results mildly in comparison to those of the empirical methods.
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This method utilizes the Euler Maruyama method.
This method utilizes two objective functions.
This method utilizes a huge collection of 374 pre-trained concept detectors.
This method utilizes the speed of the computer to estimate variance by repeatedly resampling the data.
This method utilizes minimal space to achieve maximum productivity.
This method utilizes existing nutrient profiles and nationally representative data collected from food consumption surveys.
This method utilizes two sensory systems.
However, because the method utilizes the wave analysis directly, it has been mainly applied to simple uniform structures, and control design method with some other control objectives has not been established yet.
Because the proposed method utilizes existing mission devices, a satellite does not require additional precise rate sensors, which makes it easier to achieve precise stabilization given the strict constraints possessed by small satellites.
In the self-adaptive algorithm, the convergent speed of Newton's method is faster than that of the steepest descent method because Newton's method utilizes the self-relevant messages of receiving data in the self-adaptive learning processes.
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