ライフサイエンスコーパス: power spectrum

1 eta/delta ratio in the local field potential power spectrum.

2 rst- and second-order transformations of the power spectrum.

3 a signal with a "white" spatial and temporal power spectrum.

4 ensor design on characteristics of the noise power spectrum.

5 have long-range temporal correlations with a power spectrum.

6 because of the significant alteration of the power spectrum.

7 the phase of each frequency component in the power spectrum.

8 ted in transient modulations of the cortical power spectrum.

9 with broadband (2-150 Hz) shifts in the LFP power spectrum.

10 vealing two distinguishable processes in the power spectrum.

11 n studied by examining the properties of the power spectrum.

12 transform (DFT) allowed evaluation of the OP power spectrum.

13 expression for the correlation function and power spectrum.

14 defined by the peak mode of the respiratory power spectrum.

15 record synchronous oscillatory activity and power spectrum analyses based on functional magnetic res

16 gn and malignant musculoskeletal tumours via power spectrum analyses in pre-established low-frequency

17 of the measured time series reveals that the power spectrum analysis overestimates considerably the f

18 the main characteristics of ECG, such as its power spectrum and HRV under different conditions.

19 marked changes in the characteristics of the power spectrum and relaxations of Icat in response to vo

20 receptors significantly increased EEG delta power spectrum and slightly decreased wakefulness.

21 Spatial resolution, noise-power spectrum, and Hounsfield unit accuracy of the syst

22 The distribution and the corresponding power spectrum are fully consistent with the empirical o

23 rch for predicted features in the anisotropy power spectrum at angular scales of 1 degrees and smalle

24 ma occur throughout the photoacoustic signal power spectrum at frequencies >100 MHz.

25 We introduce a special power-spectrum-based method to characterize and discrimi

26 e to baseline, HH attenuated ipsilateral EEG power spectrum (by maximally 62%), increased SEP-latenci

27 th the main assumption of the popularly-used power spectrum calibration method.

28 We find that the measured power spectrum can be explained by an intrahalo light fr

29 The power spectrum can describe and explain the impacts of s

30 ns are predominantly adiabatic with a matter power spectrum commensurate with inflationary cosmologic

31 alization of the Fourier transform where the power spectrum corresponds to the maximally slow subspac

32 sAPP increased the power spectrum density of low frequency EEG bands in the

33 model can be measured because the anisotropy power spectrum depends on constituent densities and the

34 e-triggered averaging of the field potential power spectrum detected a burst of low frequency synchro

35 e, modulation transfer function (MTF), noise power spectrum, detective quantum efficiency (DQE), cont

36 x different analytical methods that included Power Spectrum, Enright, Empirical Mode Decomposition, W

37 The inferred electron-phonon "cooling power spectrum" exhibits sharp peaks when the Fermi leve

38 Scale-free dynamics, with a power spectrum following P proportional to f(-beta), are

39 tate, and flickers at -60 mV showed the same power spectrum for cAMP and cGMP.

40 re we report a measurement of the anisotropy power spectrum from subarcminute to one-degree angular s

41 d computing the autocorrelation function and power spectrum from the simulated dynamics, an approach

42 Power-spectrum, Higuchi's fractal dimension, and general

43 relation function g(3D)(r) and corresponding power spectrum I(q) = FFT(3D[g3D(r)]), from which rho, d

44 ugh this did not affect the renal blood flow power spectrum in control rats, there was a 10-fold incr

45 The EEG-EMG coherence and power spectrum in each stage was computed.

46 The EEG power spectrum induced by pindolol tended to be opposite

47 ow-frequency fluctuation is a measure of the power spectrum intensity of spontaneous brain oscillatio

48 hannel reconstitution experiments, the noise power spectrum is "white", showing that crown exchange b

49 As the shot-noise level of the power spectrum is consistent with that expected from fai

50 A theory that predicts the resulting power spectrum is developed in terms of a stochastic poi

51 The main limitation of the power spectrum is that it is restricted to stationary ti

52 A power spectrum method was used to calculate the fractal

53 latory peak approximately 6-10 Hz in the EEG power spectrum most prominent over frontocentral regions

54 Using the modulation power spectrum (MPS [4, 5]), a recently developed, neura

55 dulations, which manifests as 1/f modulation power spectrum (MPS).

56 ng devices (apertures or collimators), noise power spectrum (NPS) analysis algorithms and parameters

57 The noise power spectrum (NPS) was derived from images of the phan

58 luded measurement of mean attenuation, noise power spectrum (NPS), and lung nodule contrast-to-noise

59 (SNI), was based on the 2-dimensional noise power spectrum (NPS).

60 acoustic oscillations in the matter-density power spectrum (observed at redshift approximately 0.1).

61 relative power of gamma-band activity in the power spectrum of a call-evoked LFP correlates significa

62 ssing and categorize chemistry in terms of a power spectrum of a few dominant reaction modes.

63 Here, the representation of the power spectrum of an acoustic signal is analyzed for two

64 system is very large we have calculated the power spectrum of bilayer undulation and peristaltic mod

65 rediction at arcminute angular scales in the power spectrum of brightness fluctuations at 250, 350 an

66 given object in the network, describing the power spectrum of conformational fluctuations.

67 s as a source of fluctuations the primordial power spectrum of curvature fluctuations as measured by

68 such as the probability density function and power spectrum of eastern Pacific sea surface temperatur

69 groups of species-specific calls modify the power spectrum of evoked gamma-band activity.

70 state on the folding pathway, we measure the power spectrum of force fluctuations at high temporal re

71 es a remarkable job at matching the observed power spectrum of historical and proxy records for atmos

72 mportant very low-frequency component in the power spectrum of HRV.

73 The power spectrum of intermediate-temperature brown dwarfs

74 Gamma-band peaks in the power spectrum of local field potentials (LFP) are found

75 urons and led to a broadband increase in the power spectrum of local field potentials.

76 The power spectrum of local oxygen fluctuations is inversely

77 he E-mode polarization and reveal an angular power spectrum of polarized emission showing peaks and v

78 athology or inflammation, and normalized the power spectrum of stage N2 sleep.

79 studied using statistics such as the angular power spectrum of the background intensity variations.

80 The power spectrum of the BOLD within each ROI was calculate

81 ergic basal forebrain neurons, on sleep, the power spectrum of the electroencephalogram (EEG), and bo

82 In the nonmotile case, we obtain the power spectrum of the magnetic field noise produced by t

83 bules and longitudinally oriented T-tubules, power spectrum of the overall T-tubule systems, and aver

84 signals, broadband changes in the frequency power spectrum of the potential and deflections in the r

85 The power spectrum of the remaining 'continuous' noise compo

86 The power spectrum of the resulting photoacoustic wave conta

87 able progress has been made in measuring the power spectrum of the temperature fluctuations.

88 An analysis of the power spectrum of the thermal force on a trapped bead sh

89 We have recently observed that the power spectrum of the visual input to the retina during

90 The power spectrum of these high-frequency oscillations show

91 The power spectrum of this noise is quantified.

92 The power spectrum of this variability in black hole binarie

93 ent in phase-shuffled controls with the same power spectrum or empty scanner data.

94 several changes occur in the spatiotemporal power spectrum: power increases at resonances of the cor

95 cantly and lastingly decreased the EEG delta power spectrum, produced low-delta non-rapid eye movemen

96 nificant reduction in the portion of the EEG power spectrum represented by delta-waves (0.1-4 Hz) and

97 A previous attempt at measuring this power spectrum resulted in the suggestion that the clust

98 laxies, indicate that the strong peak in the power spectrum results from structures of large transver

99 th new and existing experimental data on the power spectrum S(Q, omega) of bulk and confined water at

100 res of circuit-wide regulation and feedback (power spectrum scale invariance/autocorrelation), in com

101 ation of gratings masked by noise that has a power spectrum similar to that of natural images.

102 Methods for evaluating complexity were: power spectrum, structure function, wavelet decompositio

103 ed by the same neuronal bursting pattern and power spectrum that characterize theta in adults.

104 n the gamma frequency range, a region of the power spectrum thought to reflect especially the contrib

105 m(-1) r.m.s.) shifted the gamma peak in the power spectrum to centre on the applied field frequency

106 sure; and (4) a progressive shift of the EEG power spectrum toward slow frequencies.

107 wake behavior and electroencephalogram (EEG) power spectrum using the pharmacogenetic technique, the

108 d less fragmented NREMS, while the NREMS EEG power spectrum was conserved.

109 The low-frequency branch of the dark noise power spectrum was consistent with discrete SQR-like eve

110 d unit values, spatial resolution, and noise-power spectrum were also similar with the exception of m

111 tegrated power area (from 4 to 12 Hz) of the power spectrum, whereas D-AP5 (50 microm) had no effect

112 sustained fluctuating photocurrent having a power spectrum which resembled those of single photon re

113 essions for the autocorrelation function and power spectrum, which compactly characterize microtubule

114 ed-megaparsec scale, characterized by a flat power spectrum with prominent baryon acoustic oscillatio