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Spectrum estimation

H = di(Z—iy di are the potential parameters I is the orbital quantum number 3 characterizes the spin direction Z is the nuclear charge). Our experience has show / that such a model potential is convenient to use for calculating physical characteristics of metals with a well know electronic structure. In this case, by fitting the parameters di, one reconstructs the electron spectrum estimated ab initio with is used for further calculations. [Pg.142]

Fig. 3 Possible structure of S7O2 as derived from the Raman spectrum. Estimated SS bond lengths in pm (after [67])... Fig. 3 Possible structure of S7O2 as derived from the Raman spectrum. Estimated SS bond lengths in pm (after [67])...
Consider the absorption spectrum of Ti + ions in AI2 O3 (sapphire), shown in Figure 5.4. (a) From this spectrum, estimate the amount lODq. (b) Assuming that the 3d valence electron describes a circular trajectory of 0.1 nm radius and that there is an octahedral environment of point charges (the ions), estimate the Ti +-0 distance in sapphire. [Pg.195]

The AMI-calculated structure and charge distribution of radical the trication of [1-carotene have been reported and its UV absorption spectrum estimated from INDO/S methods.158 The decomposition of the ftiran radical cation proceeds by two separate pathways according to a recent theoretical study, one via formation of propene radical cation and CO, the other a lower energy process via acetylene and a ketene radical cation.159 As a result of a reflection mass spectrometric study, a likely mechanism is... [Pg.154]

Evans et al., 1981] Evans, J., Johnson, J., and Sun, D. (1981). High resolution angular spectrum estimation techniques for terrain scattering analysis and angle of arrival estimation. Proc. IstASSP Workshop on Spectral Estimation, pages 5.3.1-5.3.10. [Pg.542]

The algorithm of activity spectrum estimation is based on the above-mentioned Bayesian approach, but dilfers in several details. For each kind of activity A, which can be predicted by PASS, on the basis of a molecule s structure represented by the set of MNA descriptors [D D2- -D the following values... [Pg.201]

Fig. 12 (C) shows the transient EPR kinetics for the three PS-I complexes atg=2.0040, corresponding to the field marked by an upward arrow in the ESP spectra in panel (B). The parameter t indicated for the first and second transient signals represents the time for the transition from the early to late spectrum estimated t values for the first two complexes were estimated to be 190 and 210... Fig. 12 (C) shows the transient EPR kinetics for the three PS-I complexes atg=2.0040, corresponding to the field marked by an upward arrow in the ESP spectra in panel (B). The parameter t indicated for the first and second transient signals represents the time for the transition from the early to late spectrum estimated t values for the first two complexes were estimated to be 190 and 210...
DJ Thomson. Spectrum estimation and harmonic analysis. Proceedings of IEEE, 70 1055-1096, 1982. [Pg.299]

Suppose that the transmitter is placed in the middle of the shift range and that a 90° pulse of width 20 /xs is used to excite the spectrum. Estimate the size of the phase correction which will be needed at the edges of the spectrum. (Assume that the spectrometer has a Bq field strength of 9.4 T). [Pg.64]

Fig. 12.5. (Taken from [17]) Estimation of the stochastic chirp based on the realization in Fig. 12.2(b). (a) The wavelet scalogram, i.e. the sample spectrum without averaging, (b) Averaged sample spectrum with Wa/Nyoice = 0-5. (c) Averaged sample spectrum with Wa/Nyoice = 0.5 and W), = 3. (d) The spectrum estimated as the mean of 1000 realizations. Fig. 12.5. (Taken from [17]) Estimation of the stochastic chirp based on the realization in Fig. 12.2(b). (a) The wavelet scalogram, i.e. the sample spectrum without averaging, (b) Averaged sample spectrum with Wa/Nyoice = 0-5. (c) Averaged sample spectrum with Wa/Nyoice = 0.5 and W), = 3. (d) The spectrum estimated as the mean of 1000 realizations.
It should be mentioned that the structure and charge distribution of p-carotene (1) trication radical have been predicted by AMI calculations and the optical spectrum estimated based on INDO/S calculations [140],... [Pg.542]

Two model-checking methods are common, and they are often applied to a "new" set of data. First, the residuals are analyzed for lack of correlation or "whiteness." White noise has the characteristic that all frequencies contained in it should be present in equal strength. The cumulative periodogram is the integral of a spectrum estimate therefore, for white noise, it should be the Integral of a constant or a linear ramp function. [Pg.419]

Spectrum estimation using HOSE-code technology... [Pg.1069]

Fig. 23.2 Spectrum estimation using 5 coincident spheres generating wrong predictions for carbons 11 and 12 at 93.7 and 94.3 ppm respectively, because of wrong reference material. Fig. 23.2 Spectrum estimation using 5 coincident spheres generating wrong predictions for carbons 11 and 12 at 93.7 and 94.3 ppm respectively, because of wrong reference material.
Fig. 23.3 Spectrum estimation using two coincident spheres generating better predictions [123.1 ppm for and 63.3 ppm for C12 respectively] than with five coincident spheres (see Fig. 23.4)... Fig. 23.3 Spectrum estimation using two coincident spheres generating better predictions [123.1 ppm for and 63.3 ppm for C12 respectively] than with five coincident spheres (see Fig. 23.4)...
In theory, both methods will lead to the same cross-bispectrum when data length is infinite. However, with finite data records, direct and indirect methods generally lead to cross-bispectrum estimates with different shapes (Figure 26.4). Therefore, Hke power spectrum estimation, users have to choose an appropriate method to extract the information desired. [Pg.424]

AM 1.5 G is a shorthand notation used by the PV community to denote the air-mass 1.5 global reference spectrum, estimated at 1000 W/m. ... [Pg.120]

Figure 6.6 Spectrum estimated from the measurements and from the optimal model with seven modes... Figure 6.6 Spectrum estimated from the measurements and from the optimal model with seven modes...
Figure 4.20 The spectrum estimated using the equation I = 0.60(comp.2 + 0.40(comp.3) is shown as curve 1 the steady-state fluorescence emission spectrum of iPS gel after annealing for 30 min at 318 K as curve 2 comp.2 and comp.3 correspond to spectra 2 and 3 in Figure 4.19. Figure 4.20 The spectrum estimated using the equation I = 0.60(comp.2 + 0.40(comp.3) is shown as curve 1 the steady-state fluorescence emission spectrum of iPS gel after annealing for 30 min at 318 K as curve 2 comp.2 and comp.3 correspond to spectra 2 and 3 in Figure 4.19.
Thus, the interfering peaks can be resolved into interference-free peak areas by integrating the counts in regions 1 and 2 in the composite spectrum, estimating the backgrounds Bi and B2, and applying the previously determined interference factors q and r. [Pg.261]

CSEARCH spectrum estimation is based on scripts written by R. Bobrovsky, G. LPffler. and W. Robien and can be accessed via an e-mail based server system at the University of Vienna [132]. Four different versions are available. Optionally the stereochemistry of the molecules can be considered and/or neural networks can be used for the fast estimation of chemical shifts. [Pg.542]


See other pages where Spectrum estimation is mentioned: [Pg.150]    [Pg.64]    [Pg.39]    [Pg.99]    [Pg.126]    [Pg.385]    [Pg.201]    [Pg.68]    [Pg.378]    [Pg.125]    [Pg.171]    [Pg.1066]    [Pg.117]    [Pg.133]    [Pg.237]    [Pg.167]    [Pg.449]    [Pg.564]    [Pg.365]    [Pg.179]   


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