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using the exponential window defined by "forgetting factor" λ [17].
Figure 10 Distribution of eigenvalues using the exponential window for M = 20 and p = 0.975.
Asymptotically as M,N jointly tend to ∞, the results from this truncated window become accurate for describing the underlying distributions using the exponential window.
This is because the effective length of the window increases as p approaches 1. Figure 11 Distribution of eigenvalues using the exponential window for M = 20 and p ∈ {0.95,0.97,0.98,0.99,0.995}.
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We now present a sampling scheme with exponential reproducing windows that can greatly simplify the time domain transform function s m (t) using the exponential reproducing property.
It differs from XSc6mekl by by using the exponential of the 6th order Chebyshev polynomial.
It differs from XSc6vmekl by by using the exponential of the 6th order Chebyshev polynomial.
The exponential function is available in bipolar technology using the exponential characteristic of the bipolar transistor.
Using a different decaying rate in the exponential window, a second approximated FRF is produced.
These estimators are important especially because the exponential window is used in numerous applications.
The exponential window function is widely used in impact hammer testing to reduce leakage errors as well as to get a nice S/N ratio.
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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