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1 time detection of multiple species using the fast Fourier transform.
2 he ultrasound signals were calculated with a fast Fourier transform.
3 me by a novel application of convolution and Fast Fourier Transforms.
4 s accomplished by correlation analysis using fast Fourier transforms.
5 e t-tubule disorganization, as quantified by fast-Fourier transforms.
6 overcome the limiting O(nlogn) complexity of fast Fourier transform algorithms.
7 opy image-based finite element modelling and fast Fourier transform analysis are used to develop a mu
8  Sarcomere length was accurately measured by fast Fourier transform analysis of images before, within
9                                              Fast Fourier transform analysis of the tremor revealed a
10                                              Fast Fourier transform analysis was applied to the neuro
11 of mean velocity made by the catheter, using fast Fourier transform analysis, both without and with c
12 s of each bipolar AEG were also subjected to fast Fourier transform analysis.
13             Signal processing analyses using fast Fourier transform and continuous wavelet transforms
14  made using a combination of two-dimensional fast Fourier transform and fractal analysis, which allow
15                                        Using fast Fourier transform and principal components analysis
16 R-interval power spectra were computed using fast Fourier transforms and log(power) was regressed on
17                                 We performed fast Fourier transform (and autoregressive) power spectr
18                           Using a grid-based Fast Fourier Transform approach, a space of exclusively
19                           Here, we present a fast Fourier transform-based algorithm that can be used
20            Energy evaluation is based on the fast Fourier transform correlation approach, which allow
21  into the docking program PIPER based on the fast Fourier transform correlation approach.
22                            The commonly used Fast Fourier Transform (FFT) algorithm is applicable onl
23 l-optical soliton method for calculating the Fast Fourier Transform (FFT) algorithm is presented.
24  increased the amplitude of the 1-4 Hz band (Fast Fourier Transform (FFT) analysis, p<0.05), which is
25                                        Using fast Fourier transform (FFT) analysis, we previously obs
26 two Fermi pockets at the Fermi level via the fast Fourier transform (FFT) analysis.
27                                     We use a Fast Fourier Transform (FFT) based docking method to qui
28 e search is based on the extremely efficient fast Fourier transform (FFT) correlation approach which
29  protein-protein docking server based on the fast Fourier transform (FFT) correlation approach.
30 ny protein docking algorithms begin by using fast Fourier transform (FFT) correlation techniques to f
31  harmonic to the fundamental harmonic of the fast Fourier transform (FFT) for these responses.
32 eristics of V(m) were analyzed by short-time fast Fourier transform (FFT) or generalized time-frequen
33 ctors showed no preferential directions, and fast Fourier transform (FFT) power spectra were broad (1
34                                            A fast Fourier transform (FFT) routine was used to analyze
35 y; the resulting data were preprocessed with Fast Fourier Transform (FFT), followed by CVA treatment.
36                                      After a fast Fourier transform (FFT), the sound wave generated f
37 ermined from OP power spectra computed using fast Fourier transform (FFT).
38 ty data to a simple interference model or by fast Fourier transform (FFT).
39 g triple-reference point normalization and a fast-Fourier transform (FFT)-based pre-processing scheme
40                      Energy evaluation using fast Fourier transforms (FFTs) enables sampling billions
41                                   Sequential fast Fourier transforms (FFTs) were performed.
42                     DynOmics is based on the fast Fourier transform, from which the difference in exp
43 er subtraction of the ventricular component, fast Fourier transform identified the DF at each site.
44 gies: (i) cross-correlation, implemented via fast Fourier transform; (ii) a match scoring scheme that
45                                              Fast Fourier transforms indicated that baroreflex sensit
46 curacy over MUSCLE, Multiple Alignment using Fast Fourier Transform (MAFFT), ClustalW and the origina
47                                   Fourier or fast Fourier transform methods are not used.
48 ng ventricular pacing, the peak amplitude of fast Fourier transform of dZ/dt (between 1.5 and 4.5 Hz)
49       In cardiac arrest, a peak amplitude of fast Fourier transform of dZ/dt of < or = 4 dB x ohm x r
50 re noncontributory in cardiac arrest, so the fast Fourier transform of dZ/dt was assessed.
51      The square of the peak amplitude of the Fast Fourier Transform of dZ/dt was the best predictor o
52                                              Fast Fourier transform of optical and bipolar electrode
53 e used a novel algorithm to characterize the fast Fourier transform of the image as a function of spa
54 -to-charge ratios of ions are obtained using fast Fourier transform of the image current detected on
55 tory-frequency (0.20 to 0.30 Hz) ranges with fast Fourier transform power spectra and used cross-spec
56 s from each channel were demodulated using a fast Fourier transform, resolving the contributions from
57                                We integrated fast Fourier transform RR-interval spectral power at ver
58                                     From the fast Fourier transform, the dominant frequency was deter
59                  For signal analysis using a fast Fourier transform, the inhomogeneous distribution o
60 r and quadratic terms for dZ/dt(max) and the Fast Fourier Transform to identify significant parameter
61 ins in wavenumber or 'k-space' followed by a fast Fourier transform to yield real-space images with n
62 combined with a six-dimensional search using fast Fourier transforms to rapidly scan the rigid-body d
63 als underwent frequency domain analysis as a fast Fourier transform was performed over a 2-second win
64  electrograms were digitally filtered, and a fast Fourier transform was performed over a sliding 2-s
65                                            A fast-Fourier transform was performed every 0.5 s on a sl
66 g spectra of images post Gabor filtering and Fast Fourier Transform, we were able to measure subtle c
67                                    Data from fast-Fourier transforms were then incorporated in the mo
68 e-sensitive dye, ECG, and signal processing (fast Fourier transform) were used for analysis.

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