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Moreover, the paper presents the application of the proposed window in finite impulse response (FIR) filter design.
The results show that the filters designed by the proposed window provide better far end stopband attenuation than the filters designed by the Kaiser window.
As for the comparison with the ultraspherical window, the proposed window provides better ripple ratio for wider mainlobe width and larger sidelobe roll-off ratio.
Simulation results show that the proposed window performs better sidelobe roll-off ratio than the Kaiser window for the same window length and normalized mainlobe width.
The proposed window has been derived in the same way as the Kaiser window, but it has computational cost advantage due to having no power series expansion in its time domain representation.
The results suggested that the proposed window function scaled up to f(x) = 1 at higher magnitude of control parameter.
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In the subsurface water leakage simulation, the proposed window-based minimum distance classifier first detects subsurface events, and then conducts the water leakage event classification into different water contents.
The proposed window-based filter policy is based on dual threshold action.
In order to analyze the performance of the proposed windowed preamble, the synchronization technique is evaluated in a time-variant frequency-selective channel.
Measure the dimensions of your proposed window opening and go outside to the exterior wall of the basement.
Non-linear effects at the boundaries are modeled by a proposed window function which takes into account the non-linear dopant drift.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com