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Generalized Fourier transform

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]

Fig. 10.10. Real part of the generalized Fourier transform of the fluctuating part of the positive parity level daisity of the one-dimaisional helium model. (Prom Blumel and Reinhardt (1992).)... Fig. 10.10. Real part of the generalized Fourier transform of the fluctuating part of the positive parity level daisity of the one-dimaisional helium model. (Prom Blumel and Reinhardt (1992).)...
The condition of constant r can be interpreted as a study of the quantum problem as a function of Planck s constant %. Therefore, the generalized Fourier transform suggested below is essentially a Fourier transform with respect to /h. With (10.4.37) and... [Pg.268]

The difference in notation also extends to the generalized Fourier transforms of the rotational invariants. A few differences in the H e-Stell and Patey-Levesque-Weis notation serve no such organic need but simply reflect common notational variations in the literature. (Hoye and Stell often use m for permanent dipole magnitude and s for the associated unit vector Patey et al. use ja and fi.) In Section IV, where polarizability is introduced and both theory and its implementation discussed, we have used m for total moment, p for induced moment, and fi for permanent moment. Where we discuss Wertheim s results in detail, we follow his notation as closely as possible (again subject to minor variations in the interest of overall notational consistency). [Pg.186]

In Section III, we use a more general notation in which a ir) is denoted as a° (r), a (r) is denoted as a °(r), and U ,(r) as a" (r), while d - (k) refers to a generalized Fourier transform that includes the Hankel transform introduced here. In treating simple dipolar models (in which higher ideal multipole terms may or may not be present, but are not explicitly discussed) the more general notation is unnecessary and is not used in Section II. [Pg.195]

Generalized Fourier Transform for Non-Uniform Sampled Data... [Pg.79]

The second reason for the appeal of Fourier transform methods is cost. While the cost for a large, visible/UV Fourier transform instrument is high, two factors should be kept in mind. First, less expensive instruments can be constructed which will provide good spectroscopic data as shown by Horlick and Yuen. Second, the true cost to be considered is the cost per spectrum. Since, in general, Fourier transform instruments can collect broad bandwidth spectra relatively quickly, many more spectra can usually be collected by this method than by conventional dispersive methods. Since spectra can be collected much more rapidly than they can be analyzed, it is not unrealistic to think that a single instrument could serve many research groups. This method of joint or shared operation keeps the instrument in a state of use which optimizes its efficiency, and spreads the cost over many users. [Pg.450]

NLFR is a quasi-stationary response of a nonlinear system to a periodic (sinusoidal or cosinusoidal) input, around a steady state. One of the most convenient tools for treating nonlinear FRs is the concept of higher-order FRFs [52], which is based on Volterra series and generalized Fourier transform. This concept will be briefly presented below. [Pg.286]

Another approach using nonlinear frequency respruise analysis with the help of the Volterra series expansirui and generalized Fourier transform was also proposed and applied to the study of methanol or ferrocyanide oxidation [666-668]. [Pg.332]

Figure 1 This illustration shows a signal converted from the time domain to the frequency domain using a Fourier transform technique. The fast Fourier transformation (TFT) is a discrete and computationally efficient version of the general Fourier transformation. Figure 1 This illustration shows a signal converted from the time domain to the frequency domain using a Fourier transform technique. The fast Fourier transformation (TFT) is a discrete and computationally efficient version of the general Fourier transformation.
K. Kazimierczuk, M. Misiak, J. Stanek, A. Zawadzka-Kazimierczuk and W. Kozminski, Generalized Fourier Transform for Non-Uniform Sampled Data, in Novel Sampling Approaches in Higher Dimensional NMR, ed. M. BiUeter and V. Orekhov, Topics in Current Chemistiy, Springer GmbH, 2012, vol. 316, p. 79. [Pg.37]


See other pages where Generalized Fourier transform is mentioned: [Pg.139]    [Pg.58]    [Pg.58]    [Pg.104]    [Pg.133]    [Pg.58]    [Pg.3]    [Pg.139]    [Pg.267]    [Pg.323]   
See also in sourсe #XX -- [ Pg.104 , Pg.267 , Pg.268 ]




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