Local frequency estimation

In the first mechanism, a population transfer from LO phonon to acoustical phonons with half the frequency of the optical phonon and opposite wave vectors takes place. The problem is similar to the decay of a local mode. Thus, the lifetime of the optical mode should be similar to the lifetime of a local mode of the same frequency, because the strain field of a local mode has a similar character like the local mode. Estimations of this process can be made from second-order perturbation theory. In the case of population transfer, cubic terms are dominating in the vibrational potential. For the population transfer, energy and momentum conservation has to be fulfilled, which is the case for bulk material because of the overlap of the density of states of two acoustical phonons with that of the LO phonon. For pure population transfer, a linear increase of the LO half-width with the number n of the LO phonons is expected. 

In contrast to a direct injection of dc or ac currents in the sample to be tested, the induction of eddy currents by an external excitation coil generates a locally limited current distribution. Since no electrical connection to the sample is required, eddy current NDE is easier to use from a practical point of view, however, the choice of the optimum measurement parameters, like e.g. the excitation frequency, is more critical. Furthermore, the calculation of the current flow in the sample from the measured field distribution tends to be more difficult than in case of a direct current injection. A homogenous field distribution produced by e.g. direct current injection or a sheet inducer [1] allows one to estimate more easily the defect geometry. However, for the detection of technically relevant cracks, these methods do not seem to be easily applicable and sensitive enough, especially in the case of deep lying and small cracks. 

Consider reorientations of a diatomic surface group BC (see Fig. A2.1) connected to the substrate thermostat. By a reorientation is meant a transition of the atom C from one to another well of the azimuthal potential U(qi) (see Fig. 4.4)). The terminology used implies a classical (or at least quasi-classical) description of azimuthal motion allowing the localization of the atom C in a certain well. A classical particle, with the energy lower than the reorientation barrier Awhich does not interact with the thermostat cannot leave the potential well where it was located initially. The only pathway to reorientations is provided by energy fluctuations of a particle which arise from its contact with the thermostat. Let us estimate the average frequency of reorientations in the framework of this classical approach. 

Kieffer has estimated the heat capacity of a large number of minerals from readily available data [8], The model, which may be used for many kinds of materials, consists of three parts. There are three acoustic branches whose maximum cut-off frequencies are determined from speed of sound data or from elastic constants. The corresponding heat capacity contributions are calculated using a modified Debye model where dispersion is taken into account. High-frequency optic modes are determined from specific localized internal vibrations (Si-O, C-0 and O-H stretches in different groups of atoms) as observed by IR and Raman spectroscopy. The heat capacity contributions are here calculated using the Einstein model. The remaining modes are ascribed to an optic continuum, where the density of states is constant in an interval from vl to vp and where the frequency limits Vy and Vp are estimated from Raman and IR spectra. 

Risk characterization estimates the frequency and severity of adverse events and presents the results in a form useful to management, for example, in the form of various scenarios for emission abatement strategy on local or regional scale. 

Another analysis method was based on the local wave vector estimation (LFE) approach applied on a field of coupled harmonic oscillators.39 Propagating media were assumed to be homogeneous and incompressible. MRE images of an agar gel with two different stiffnesses excited at 200 Hz were successfully simulated and compared very well to the experimental data. Shear stiffnesses of 19.5 and 1.2 kPa were found for the two parts of the gel. LFE-derived wave patterns in two dimensions were also calculated on a simulated brain phantom bearing a tumour-like zone and virtually excited at 100-400 Hz. Shear-stiffnesses ranging from 5.8 to 16 kPa were assumed. The tumour was better detected from the reconstructed elasticity images for an input excitation frequency of 0.4 kHz. 

H. Knutsson, C. J. Westin and G. Granlund, Local multiscale frequency and bandwidth estimation, Proc. IEEE Int. Conf. Imag. Proc., 1994, 1, 36-40. 

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