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However, these techniques are less successful in identifying isolated spikes or in separating individual frequency components.
However its effect on the cycle slip of individual frequency is significantly larger.
This paper deals with asymptotic rejection of individual frequency modes in nonlinear systems under general periodic disturbances.
The problem of convergence is addressed in terms of the convergence of individual frequency harmonics of the non-linear response.
In contrast, estimators using a superimposed training strategy are developed for the individual frequency and channel parameters.
As mentioned above, the convoluted mixture in the time domain is converted into instantaneous mixtures for individual frequency bins.
These individual frequency components are used to compute the psychoacoustic masking thresholds and accordingly their quantization resolutions are controlled.
This approach is based on adaptive segmentation of Fourier spectrum and followed by an appropriate filter design to extract the individual frequency components.
An iterative observer design is proposed for disturbance estimation, and it is shown that the proposed observer design successfully extracts individual frequency modes from general periodic disturbances.
It is established that the complex impedance behavior results from a combination of the individual frequency responses of these two quantities.
In that paper, S N properties under usual frequencies of 0.2 140 Hz can be successfully normalized by the lower yield stress at the individual frequency.
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