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Frequency space

The goal of URT is to obtain reflectivity images from back-scattered measurements. This consists in a Fourier synthesis problem, and the first task is to correctly cover the frequency space of the "object" r. Let for simplicity the dimension of the physical space be 2. [Pg.745]

A single echographic "shot" at frequency oj and incidence n gives rise to a point K = -2kn( (with k = co/cq) in the spatial frequency space. [Pg.745]

If we think in terms of the particulate nature of light (wave-particle duality), the number of particles of light or other electi omagnetic radiation (photons) in a unit of frequency space constitutes a number density. The blackbody radiation curve in Fig. 1-1, a plot of radiation energy density p on the vertical axis as a function of frequency v on the horizontal axis, is essentially a plot of the number densities of light particles in small intervals of frequency space. [Pg.3]

We are using the term space as defined by one or more coordinates that are not necessarily the a , y, z Cartesian coordinates of space as it is ordinarily defined. We shall refer to 1-space, 2-space, etc. where the number of dimensions of the space is the number of coordinates, possibly an n-space for a many dimensional space. The p and v axes are the coordinates of the density-frequency space, which is a 2-space. [Pg.3]

Compression may be achieved if some regions of the time-frequency space in which the data are decomposed do not contain much information. The square of each wavelet coefficient is proportional to the least-squares error of approximation incurred by neglecting that coefficient in the reconstruction ... [Pg.249]

Examination of the EXAFS formulation in wave vector form reveals that it consists of a sum of sinusoids with phase and amplitude. Sayers et al32 were the first to recognize the fact that a Fourier transform of the EXAFS from wave vector space (k or direct space) to frequency space (r) yields a function that is qualitatively similar to a radial distribution function and is given by ... [Pg.283]

Silicon is a model for the fundamental electronic and mechanical properties of Group IV crystals and the basic material for electronic device technology. Coherent optical phonons in Si revealed the ultrafast formation of renormalized quasiparticles in time-frequency space [47]. The anisotropic transient reflectivity of n-doped Si(001) featured the coherent optical phonon oscillation with a frequency of 15.3 THz, when the [110] crystalline axis was parallel to the pump polarization (Fig. 2.11). Rotation of the sample by 45° led to disappearance of the coherent oscillation, which confirmed the ISRS generation,... [Pg.33]

A PIP is equivalent to an infinite number of asymmetrically amplitude scaled and phase shifted RF fields that are applied simultaneously and are separated equally in the frequency space. In addition to their locations, all... [Pg.62]

To summarize, the methods of applying different modulations or measuring decoherence at different times, effectively sample the frequency-space, , and thus address different bath modes and allow measuring their coupling strength to the system. Thereafter, one can numerically obtain the coupling spectra that best fits the measured data. [Pg.207]

The modulation frequency—the difference frequency between the optical modes—determines the longest lifetime that can be measured. It is, of course, possible to reduce the frequency spacing between the modes by lengthening the laser. [Pg.234]

Research into the acoustics of musical instruments has revealed considerable evidence that aperiodicity and noise play an important role in the sound quality of a musical instrument. This research reinforces the justifications for using more than one period for looping in sampling. Since the loop is actually a periodic waveform, the number of samples in that loop of course determines the number of spectral components that can be present in the spectrum, and their frequency spacing. N samples are completely specified by N/2 complex Fourier components. At 44100 Hz sample rate, for a 256 sample loop, the spacing between frequencies would be 44100/256 = 172 Hz. Noise or other aperiodic components would be forced to fall on one of these bins. The longer the loop, the closer that spectral components can become, and the more aperiodic they can become. A truly aperiodic waveform would need an infinite loop, but our perception mechanism can be fooled into perceiving aperiodicity with a much shorter loop. [Pg.183]

Monte Carlo results for the average frequency spacing between maxima . J. Acoust. Soc. Am., 34(1) 76—80. [Pg.277]

The convolution theorem reduces Eq. (57) to a simple product in frequency space Y = XH (58)... [Pg.39]

Thus, in order to remove illumination effects we first need to transform the input image to frequency space using a Fourier transform. The one-dimensional continuous Fourier transform is defined as (Bronstein et al. 2001)... [Pg.170]

Figure 7.22 The input image is shown in (a). The image in (b) shows the magnitude of the coefficients in frequency space. The values are shown on a double logarithmic scale. Figure 7.22 The input image is shown in (a). The image in (b) shows the magnitude of the coefficients in frequency space. The values are shown on a double logarithmic scale.
Fig. 2.38 Variation of e and with frequency. Space charge and dipolar polarizations are relaxation processes and are strongly temperature dependent ionic and electronic polarizations are resonance processes and sensibly temperature independent. Over critical frequency ranges energy dissipation is a maximum as shown by peaks in ... Fig. 2.38 Variation of e and with frequency. Space charge and dipolar polarizations are relaxation processes and are strongly temperature dependent ionic and electronic polarizations are resonance processes and sensibly temperature independent. Over critical frequency ranges energy dissipation is a maximum as shown by peaks in ...
The algorithm for the FFT (the reverse butterfly in our case) is well known (ref. 1,2) and will not be discussed here in detail. On the other hand, the FHT has been often neglected in spite of some advantages it offers. Due to the fact that both transformations rotate the time domain into the frequency space and vice versa, the only conceptual difference between both transformations is the choice of basis vectors (sine and cosine functions vs. Walsh or box functions). In general, the rotation or transformation without a translation can be written in the following form (ref. 3) ... [Pg.90]

Forth language, 175 forward-transformation, 94 Fourier transformation, multidimensional, 195 fragment, 71, 72, 75 code, 71,73 fraktur font, 5 frequency space, 90 full-curve... [Pg.206]

As is very well known, during a transition involving an excited and a ground or less excited energy levels, the system emits a photon. The energy distribution in the frequency space of the photon has a natural line width, T, ensuing from the finite lifetime, x, of the excited state (Figure 1.40). [Pg.58]


See other pages where Frequency space is mentioned: [Pg.462]    [Pg.247]    [Pg.1636]    [Pg.2962]    [Pg.552]    [Pg.31]    [Pg.14]    [Pg.21]    [Pg.24]    [Pg.161]    [Pg.463]    [Pg.5]    [Pg.79]    [Pg.194]    [Pg.283]    [Pg.313]    [Pg.194]    [Pg.183]    [Pg.639]    [Pg.53]    [Pg.256]    [Pg.590]    [Pg.228]    [Pg.783]    [Pg.309]    [Pg.190]    [Pg.170]    [Pg.171]    [Pg.172]    [Pg.49]    [Pg.97]   
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See also in sourсe #XX -- [ Pg.94 ]

See also in sourсe #XX -- [ Pg.109 , Pg.110 ]




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Frequency space, multidimensional

Optical incoherent space frequency

Optical incoherent space frequency analysis

Phase space spiraling frequency

Space-group frequency 207

Space-group frequency 207 polar

Space-group frequency 207 symmetry

Vibrational frequency phase-space transition states

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