ライフサイエンスコーパス: power spectrum

1 expression for the correlation function and power spectrum.

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

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

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

5 ) decay function of the electrophysiological power spectrum.

6 DNA molecules, and fluctuations with a broad power spectrum.

7 d for solely by a change in the slope of the power spectrum.

8 nce of the pronounced 20 Hz beta peak in the power spectrum.

9 ted in transient modulations of the cortical power spectrum.

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

11 ensor design on characteristics of the noise power spectrum.

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

13 because of the significant alteration of the power spectrum.

14 ts EEG features, the Hurst exponent, and the power spectrum.

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

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

17 vealing two distinguishable processes in the power spectrum.

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

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

20 inly increasing electroencephalography (EEG) power spectrum activity in low-frequency oscillations, a

21 ceptor availability and the slope of the EEG power spectrum, an index of excitatory-inhibitory balanc

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

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

24 Axis-specific power spectrum analyses reveal selective movement altera

25 Finally, using frequency power spectrum analyses, we observed that relative to pl

26 tic with a global maximum at 174 ms; (4) the power spectrum analysis of perceptual oscillations in se

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

28 A frequency power spectrum analysis revealed two predominant frequen

29 d'(NPWE)), task transfer function, and noise power spectrum analysis.

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

31 forms traditional summary statistics such as power spectrum and peak counts, as well as machine learn

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

33 to investigate the effects of IV DMT on the power spectrum and signal diversity of human brain activ

34 is broader than previously thought, and EEG power spectrum and sleep architecture should be used to

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

36 gating and ion conduction describes both the power spectrum and the current relaxations.

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

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

39 n reconstruction error of 2 x 10(-4) for the power spectrum at 0.35 nanometers.

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

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

42 d for each stimulus from the peak of the EEG power spectrum at the stimulation frequency.

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

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

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

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

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

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

49 -90 Hz) power and the slope of the aperiodic power spectrum compared to placebo.

50 A competing view is that the change in the power spectrum contains several distinct brain oscillato

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

52 Power spectrum density (PSD) and the frequency of ventil

53 logical dynamics reflects characteristics of power spectrum density and linear correlation structure

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

55 rinsic linewidth of 983 hertz extracted from power spectrum density, underscoring the MOIL-TISE laser

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

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

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

59 The Fourier transform of WN has a uniform power spectrum distributed exponentially; SDN has simila

60 escales that define the electrophysiological power spectrum during distinct brain states.

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

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

63 that detect peaks over 1/f noise within the power spectrum fail to distinguish between the fundament

64 teristic time scale at which the variability power spectrum flattens.

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

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

67 y (BOSS) CMASS galaxy sample and analyze the power spectrum, [Formula: see text], to [Formula: see te

68 By combining the power spectrum from a high resolution photon spectromete

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

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

71 d by one factor, a change in the tilt of the power spectrum (from steep to flat) indicating engaged b

72 omponent of the electroencephalography (EEG) power spectrum has been proposed to represent a non-inva

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

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

75 ta oscillations and a broad-band tilt of the power spectrum; (ii) theta oscillations specifically sup

76 upling experiments to probe the charge noise power spectrum in a silicon metal-oxide-semiconductor do

77 er corresponding to the dominant peak in the power spectrum in all the aforementioned systems.

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

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

80 Filters are designed for the power-spectrum in each domain.

81 ning of the aperiodic (1/f) component of the power spectrum, in the selection of patients with DoC, p

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

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

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

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

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

87 the power present at low frequencies of the power spectrum is orders of magnitude higher than at hig

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

89 esis using both electroencephalography (EEG) power spectrum measures in 120 Polish adolescents and yo

90 A power spectrum method was used to calculate the fractal

91 indicate that the aperiodic component of the power spectrum might be better characterized by a superp

92 slope of the 1/f (chi) decay function of the power spectrum, might constitute a biomarker of the unde

93 Noise power spectrum, modulation transfer function, section se

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

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

96 al sounds by producing a whitened modulation power spectrum (MPS) with higher modulation entropy than

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

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

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

100 d Methods In this retrospective study, noise power spectrum (NPS) was measured in a water-filled phan

101 dulation transfer function (MTF) and a noise power spectrum (NPS) were computed for each single-ion i

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

117 The power spectrum of intermediate-temperature brown dwarfs

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

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

120 The power spectrum of local oxygen fluctuations is inversely

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

122 typical learning performance in terms of the power spectrum of random input and output processes.

123 reproduce the empirically observed harmonic power spectrum of resting-state fMRI data, and predict i

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

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

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

127 The resulting power spectrum of the complex-valued function is exactly

128 the spatial information of objects into the power spectrum of the diffracted light, which are used t

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

130 arning method, is applied on the logarithmic power spectrum of the images, it can provide up to 95% p

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

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

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

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

135 The power spectrum of the resulting photoacoustic wave conta

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

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

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

139 The power spectrum of these high-frequency oscillations show

140 The power spectrum of this noise is quantified.

141 The power spectrum of this variability in black hole binarie

142 m manifests as a broad resonance peak in the power-spectrum of recorded local field potentials, which

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

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

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

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

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

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

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

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

151 ad lower noise magnitude but preserved noise power spectrum shape and peak frequency.

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

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

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

155 erfacial positions and computing the average power spectrum, their interfacial stiffness was determin

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

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

158 ns that successfully reproduce the HR matter power spectrum to percent level up to [Formula: see text

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

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

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

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

163 ency bands (RB, RA RT, RD) of the entire EEG power spectrum was not significantly different between S

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

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

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

167 ii) offset of the aperiodic component of the power spectrum, which both reflect neuronal spiking of t

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

169 the slope of the aperiodic component of the power spectrum, which is thought to reflect the neuronal

170 f spectral slope of the electrophysiological power spectrum, which reflects the non-oscillatory, scal

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