ライフサイエンスコーパス: Fourier transformation

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1 olution barrier set by the typically applied Fourier transformation.

2 hapes, which are utilized to demonstrate the Fourier transformation ability in extracting diffusion c

3 alysed for heart rate variability using fast fourier transformations (and displayed as log transforme

4 Fourier transformation can deconvolve superimposed signa

5 erefore, we develop a test based on weighted Fourier transformation coefficients, with more weight gi

6 rve was depicted with three-dimensional (3D) Fourier transformation constructive interference in stea

7 icular fibrillation median frequency by fast Fourier transformation decreased during the untreated ve

8 y transmission electron microscopy with fast Fourier transformation demonstrated macromolecular cryst

9 linear prediction (LP) followed by discrete Fourier transformation (DFT), was developed in the early

10 Fast Fourier transformation (FFT) is the major analysis metho

11 This new finding will allow us to apply the Fourier transformation for the selection of the protein

12 Hypercomplex Fourier transformation generates projections in symmetri

13 IT is converted to frequency-domain data via Fourier transformation (i.e., FT-ELIT MS).

14 hod involves time shifting the data prior to Fourier transformation in order to synchronize the onset

15 athered plastic particles were measured with Fourier transformation infrared spectroscopy in attenuat

16 Ions were analyzed using an Orbitrap Fourier transformation mass spectrometer at nominal mass

17 web interface extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed

18 Fast Fourier transformation of cardiovascular function allowe

19 cal marker of circulatory collapse, the fast Fourier transformation of dZ/dt (impedance cardiogram) h

20 mensional detrended fluctuation analysis and Fourier transformation of microscopy images.

21 The phase diagram and discrete fast Fourier transformation of the dissolved O(2) values reve

22 This method is not just Fourier transformation of the IXS data, but a means to i

23 This consists of discrete Fourier transformation of the sparse time-domain data se

24 e subjected to mass analysis in the ELIT via Fourier transformation of the time-domain signal obtaine

25 tribution function (PDF) derived from direct Fourier transformation of the total x-ray scattering.

26 Fourier transformation of these abundances reveals the e

27 y desired angle of incidence are obtained by Fourier transformation of time-domain signals acquired w

28 erence or noise using photoswitching-enabled Fourier transformation (PFT).

29 Experimental results confirmed that the Fourier transformation procedure substantially enhanced

30 alculate diffusion coefficients based on the Fourier transformation solution to Fick's law equation,

31 In this study, the Fourier transformation technique is employed to determin

32 complex space data-expression using discrete Fourier transformation; then we used a thresholding appr

33 The technique is based on Fourier transformation to extract spatiotemporal fields

34 derive an analytical method using a spatial Fourier transformation to understand the enhancement phe

35 Fast Fourier transformation was performed on 5 min segments t

36 Fast Fourier transformation was used to measure the high-freq

37 A Fourier transformation was used to model the seasonal va

38 he code depends on sound class, resembling a Fourier transformation when optimized for animal vocaliz

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