Sentence examples for weighting window from inspiring English sources
c Weighting window after normalization.
Empirically, the length of the smoothing window M 1 should be close to but longer than weighting window used in the Fourier transform.
where D w d = R w [ 0 ] + 8 π 2 R w [ 1 ] + ( 1 − 8 π 2 ) R w [ 3 ] is the scaled correlation function of the Fourier transform of a weighting window function, such that R w [ d ] = ∑ m = 1 M − d W [ m ] W [ m + d ], where W [ k ] = F { w ( m ) } denotes the Fourier transform of a weighting-window function w(m) of length M[16].
D w d = R w [ 0 ] + 8 π 2 R w [ 1 ] + ( 1 − 8 π 2 ) R w [ 3 ] is the scaled correlation function of the Fourier transform of a weighting-window function, such that R w [ d ] = ∑ m = 1 M − d W [ m ] W [ m + d ], where W [ k ] = F { w ( m ) } denotes the Fourier transform of a weighting window function w(m) of length M [16].
where k denotes the discrete frequency, asterisk the complex conjugate, x l [n] = x[l(M − q) + n] and y l [n] = y[l(M − q) + n] where l = 1,2,…,L and n=1,2,…,N, j = − 1. L and N are, respectively, the total number of overlapping windows and data samples in x[n], M and q denote the width of a weighting window function w[m] and the overlapping samples, respectively.
where is a decaying weighting window of size equal to, such that.
Fig. 1 Weighting windows used in the WM filter.
Estimate an approximate global tempo by calculating the autocorrelation of the onset strength and searching peaks in perceptual weighting windows.
due to narrow mud weight window (MWW).
In this work, we propose two new variance reduction methods based on weight window.
To further illustrate the relationship between mud weight window and well azimuth, a mud weight window (Fig. 5) was generated at a given well inclination 30°.
