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The proposed lowpass filter has the suppression performance to suppress the signal transmission in transition and stopband better than the filter based on the conventional coupled lines.
Simulation results demonstrate that interference can be effectively discriminated and suppressed with the radar configuration, and better interference suppression performance is achieved with the optimal transmitter polarizations.
This paper introduces a novel data driven control method to suppress vibrations of flexible structures and experimentally validates the suppression performance.
The target suppression gain (discussed in Section 4.2.2) for Directional BSS degrades from 20 dB for the target signal at 0 ° to about 10 dB for the target signal at 90 °, where the target suppression performance is still acceptable, but the missing selectivity will suppress interfering sources located close to the target source as well.
When TO = 0, Fig. 8 shows that W-OFDM has almost the same OOBE suppression performance as None (i.e., windowing does very little in suppressing OOBE in this example where the frequency spacing of the desired and interfering signals is 22.5 kHz).
The target suppression performance of Directional BSS is clearly superior to a common DSB.
In addition, the WFRFT orders are unrelated with the OOB power suppression performance.
With configuration adjustments, the bearing remains entirely passive while vibration suppression performance is improved.
Optimization of the internal geometry of metastructures maximizes the suppression performance.
Suppression performance is monitored via combustion efficiency (ηcomb), measured using species-based calorimetry techniques.
Accurate representation of the fire sprinkler spray enables quantitative engineering analysis of fire suppression performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com