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Fourier transform equivalence

The microdielectrometer has been used to monitor polymer curing in-situ 22.23. The CFT device can make measurements at lower frequencies than could be achieved by conventional dielectric measurement techniques. Measurements at multiple frequencies can be made in real-time. A Fourier transform equivalent of the microdielectrometer has been developed to extend the frequency range to as low as 0.005 Hz 24. [Pg.173]

In the infrared spectral range in general Fourier transform (FT) interferometers are used. In comparison with dispersive spectrometers FTIR enables higher optical throughput and the multiplex advantage at equivalent high spectral resolution. In... [Pg.249]

Equivalently, in Fourier space, where tilde denotes the Fourier transform,... [Pg.8]

Fourier transformation A mathematical operation by which the FIDs are converted from time-domain data to the equivalent frequency-domain spectrum. [Pg.415]

Equations (40.3) and (40.4) are called the Fourier transform pair. Equation (40.3) represents the transform from the frequency domain back to the time domain, and eq. (40.4) is the forward transform from the time domain to the frequency domain. A closer look at eqs. (40.3) and (40.4) reveals that the forward and backward Fourier transforms are equivalent, except for the sign in the exponent. The backward transform is a summation because the frequency domain is discrete for finite measurement times. However, for infinite measurement times this summation becomes an integral. [Pg.517]

B. Lam and T.L. Isenhour, Equivalent width criterion for determining frequency domain cutoffs in Fourier transform smoothing. Anal. Chem., 53 (1981) 1179-1182. [Pg.573]

The wave function W(x, i) may be represented as a Fourier integral, as shown in equation (2.7), with its Fourier transform A p, t) given by equation (2.8). The transform A p, i) is uniquely determined by F(x, t) and the wave function F(x, t) is uniquely determined by A p, i). Thus, knowledge of one of these functions is equivalent to knowledge of the other. Since the wave function F(x, /) completely describes the physical system that it represents, its Fourier transform A(p, t) also possesses that property. Either function may serve as a complete description of the state of the system. As a consequence, we may interpret the quantity A p, f)p as the probability density for the momentum at... [Pg.40]

Fig. 1.10 Soft rf pulses (left) in the shape of a sine (sin x/x) function, and their Fourier transforms (right), being equivalent to the excited slice in the presence of a constant magnetic field gradient. The well defined sine function (top) produces an excitation that is a slice... Fig. 1.10 Soft rf pulses (left) in the shape of a sine (sin x/x) function, and their Fourier transforms (right), being equivalent to the excited slice in the presence of a constant magnetic field gradient. The well defined sine function (top) produces an excitation that is a slice...
Depending on how the secondary magnetic field is applied, there are two fundamentally different types of spectrometers, namely, continuous wave (CW) and pulse Fourier transform (PFT) spectrometers. The older continuous wave NMR spectrometers (the equivalent of dispersive spectrometry) were operated in one of two modes (i) fixed magnetic field strength and frequency (vi) sweeping of Bi irradiation or (ii) fixed irradiation frequency and variable field strength. In this way, when the resonance condition is reached for a particular type of nuclei (vi = vo), the energy is absorbed and... [Pg.325]

I are the thermally smeared Fourier transforms of the basis function pairs summed over all the equivalent unit cell sites,... [Pg.268]

By means of this procedure our problem is not only reduced from three to two dimensions, but also is the statistical noise in the scattering data considerably reduced. Multiplication by —4ns2 is equivalent to the 2D Laplacian89 in physical space. It is applied for the purpose of edge enhancement. Thereafter the 2D background is eliminated by spatial frequency filtering, and an interference function G(s 2,s ) is finally received. The process is demonstrated in Fig. 8.27. 2D Fourier transform of the interference function... [Pg.169]

There is significant debate about the relative merits of frequency and time domain. In principle, they are related via the Fourier transformation and have been experimentally verified to be equivalent [9], For some applications, frequency domain instrumentation is easier to implement since ultrashort light pulses are not required, nor is deconvolution of the instrument response function, however, signal to noise ratio has recently been shown to be theoretically higher for time domain. The key advantage of time domain is that multiple decay components can, at least in principle, be extracted with ease from the decay profile by fitting with a multiexponential function, using relatively simple mathematical methods. [Pg.460]

We may recall and emphasize that the autocorrelation function obtained in the three representations I, II, and III must be equivalent, from the general properties of canonical transformation which must leave invariant the physical results. Thus, because of this equivalence, the spectral density obtained by Fourier transform of (43) and (45) will lead to the same Franck-Condon progression (51). [Pg.257]

Figure 3. Numerical equivalence between the three representations, I, II, and III. Within the adiabatic approximation, this figure shows the numerical equivalence between the Fourier transforms of G given by Eq. (44), Gu given by Eq. (46) and Gm given by Eq. (49). Figure 3. Numerical equivalence between the three representations, I, II, and III. Within the adiabatic approximation, this figure shows the numerical equivalence between the Fourier transforms of G given by Eq. (44), Gu given by Eq. (46) and Gm given by Eq. (49).
Resolutions in the range of 10,000 to 20,000 are achievable with modem time-of-flight mass spectrometry (TOFMS). Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS) is more costly but capable of resolutions exceeding 100,000. Resolutions exceeding 10,000 can provide low to sub parts-per-million mass accuracies. One ppm is equivalent to a mass accuracy of 0.001 for a molecular weight of 1,000 Da. [Pg.48]

Figure 6.14 EXAFS and Fourier transform of rhodium metal, showing a) the measured EXAFS spectrum, b) the uncorrected Fourier Transform according to equation (6-10), c) the first Rh-Rh shell contribution being the inverse of the main peak in the Fourier Transform, and d) the phase- and amplitude-corrected Fourier Transform according to (6-11). The Fourier transform is a complex function, and hence the transforms give the magnitude of the transform (the positive and the negative curve are equivalent) as well as the imaginary part, which oscillates between the magnitude curves (from Martens (361). Figure 6.14 EXAFS and Fourier transform of rhodium metal, showing a) the measured EXAFS spectrum, b) the uncorrected Fourier Transform according to equation (6-10), c) the first Rh-Rh shell contribution being the inverse of the main peak in the Fourier Transform, and d) the phase- and amplitude-corrected Fourier Transform according to (6-11). The Fourier transform is a complex function, and hence the transforms give the magnitude of the transform (the positive and the negative curve are equivalent) as well as the imaginary part, which oscillates between the magnitude curves (from Martens (361).
Pulse fluorometry uses a short exciting pulse of light and gives the d-pulse response of the sample, convoluted by the instrument response. Phase-modulation fluorometry uses modulated light at variable frequency and gives the harmonic response of the sample, which is the Fourier transform of the d-pulse response. The first technique works in the time domain, and the second in the frequency domain. Pulse fluorometry and phase-modulation fluorometry are theoretically equivalent, but the principles of the instruments are different. Each technique will now be presented and then compared. [Pg.167]

The number of satellite peaks will depend on the shape of the interface between the units. It is convenient to think of the diffraction pattern in the kinematic approximation as the Fourier transform of the structure. If the layers in the units were graded so that the overall structure factor variation were sinusoidal, this would have ordy one Fourier component and thus only one pair of satellites. If the interface is abrapt, this is equivalent to the Fourier transform of a square wave, which consists of an infinite number of odd harmonics the corresponding diffraction pattern is also an infinite number of odd satellites. The intensities of the satellites therefore contain information about the interface sharpness and grading. [Pg.147]

In conclusion, when modifying the density in real space is equivalent to a multiplication with another map, in reciprocal space this results in the convolution of the Fourier transform of both maps (and vice versa). [Pg.147]

Since Ap is the Fourier transform of AF, Eq. (5.12) implies that minimization of J (Fobs - Pcaic )2 dr and of J (Fobs - Fcalc)2 dS are equivalent. Thus, the structure factor least-squares method also minimizes the features in the residual density. Since the least-squares method minimizes the sum of the squares of the discrepancies in reciprocal space, it also minimizes the features in the difference density. The flatness of residual maps, which in the past was erroneously interpreted as the insensitivity of X-ray scattering to bonding effects, is an intrinsic result of the least-squares technique. If an inadequate model is used, the resulting parameters will be biased such as to produce a flat Ap(r). [Pg.93]


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See also in sourсe #XX -- [ Pg.275 , Pg.276 ]




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