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For the purpose of increasing the practical value of the filter, a heuristic modification is performed.
The improvement of the filters in the time domain is achieved by means of temporary change in the value of the filter parameters.
The chapter reveals the number and value of the filter coefficients which are requirements of the frequency response of an application.
The constraints considered for the optimization are the dominance of the placed poles and the fixed value of the filter damping factor.
For each data fragment that is required by a service consumer, the value of the filter is set to "true" in the request message.
The L-C value of the filter can be set to a fixed range in the nonlinear characteristic of the practical condition, to improve the harmonic of output voltage more effectively and to avoid repeated calculation.
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The lower the value of this filter, the higher the number of noisy spectra were excluded from normalization.
The best way to find out what the final exposure time will be is to create a GTI file, use it to filter the event file, and then look at the EXPOSURE value of the filtered file.
The sure way to find out what the final exposure time will be is to create a GTI file, use it to filter the event file, and then look at the EXPOSURE value of the filtered file.
For the amplitude analysis, the absolute value of the filtered data were integrated over a pre-determined time frame chosen at each frequency range, then divided to arrive at a ratio.
The main purpose is to design a full order stable linear filter that minimizes the worst-case peak value of the filtering error output signal with respect to all bounded energy inputs, in such a way that the filtering error system remains quadratically stable.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com