In this paper, the integration time is divided into two parts, one presents the effect of the past sampled data, calculated by the iterative method, and the other presents the effect of the recent sampled data at a fixed time interval, calculated by the Haar wavelet.
They took ideas from the past, sampled from the past, and made it part of their present, incorporating their inspirations into their own style.
Thus more λ is close to 1, more the past samples are taking into account.
We adopt the widely used independence assumption [28], which tells that the present sample is independent of the past samples.
This is more efficient to reduce the prediction error than only using the past samples as prediction context.
In (11), the right side are the past samples and the prediction coefficients, and the left side represents the predicted values.
Since the P-waves and oscillations following them are more structured, it is expected that the AE waveforms can be well predicted by a linear combination of the past samples.
Using the harmonic mean to estimate effective sizes, the disparity increased from the past samples to the current samples.
To that end, we used a subset of our patients for whom we have performed genome-wide typing in the past (sample of 564 patients with SSc and 488 healthy controls) [ 13].
