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Dyadics coefficients

The dyadic coefficient of proportionality between the force and translational velocity in this expression is, therefore, not the same as the true translational... [Pg.308]

This principle as originally stated by Curie in 1908, is quantities whose tensorial characters differ by an odd number of ranks cannot interact (couple) in an isotropic medium. Consider a flow J, with tensorial rank m. The value of m is zero for a scalar, it is unity for a vector, and it is two for a dyadic. If a conjugate force A) also has a tensorial rank m, than the coefficient Ltj is a scalar, and is consistent with the isotropic character of the system. The coefficients Lij are determined by the isotropic medium they need not vanish, and hence the flow J, and the force A) can interact or couple. If a force A) has a tensorial rank different from m by an even integer k, then Ltj has a tensor at rank k. In this case, Lfj Xj is a tensor product. Since a tensor coefficient Lt] of even rank is also consistent with the isotropic character of the... [Pg.143]

Only six coefficients are required to characterize the coupling dyadic at the center of reaction. But then an additional three scalars are required to specify the location of this point, so that the total number of independent scalars required for a complete characterization is still nine. Similarly, three scalars suffice for the translation dyadic if we refer them to the principal axes of translation [see Eq. (44)], but then three additional scalars (e.g., an appropriate set of Eulerian angles) are required to specify the orientations of these axes. So it comes down to the same thing—namely, that six scalars are required. The same is true of the rotation dyadic at any point, and of the coupling dyadic at the center of reaction. [Pg.302]

A systematic investigation of the number and nature of the nonzero coefficients of the symbolic force dyadic and torque pseudodyadic operators may be made for bodies possessing various types of geometric symmetry. [Pg.315]

The dyadic resistance coefficients derive from the quasi-steady Stokes equations as follows Let be the intrinsic solutions of the dyadic... [Pg.342]

K Coupling, rotation, and translation dyadics (38), (39) Dyadic, triadic and tetradic, resistance coefficients, respectively, for a porous medium (footnote 19)... [Pg.425]

Since we obtain an interlaced vector of scaling and wavelet coefficients at each stage of applying the decomposition equation, the vector has to be unshuffled by pre-multiplying with a permutation matrix P. The permutation matrix selects every second element (due to the dyadic nature of the decomposition scheme) and reorders them in sequence. P is given by... [Pg.101]

If the translation parameter in a family of wavelets is discretized dyadically as, b = 2 jk, the wavelet decomposition downsamples the coefficients at each scale. Any signal can be decomposed to its contribution at multiple scales as a weighted sum of dyadically discretized orthonormal wavelets. [Pg.412]

As mentioned before, when dealing with values of m greater than 2, the decomposition scheme is slightly more complicated by the fact that we have more than three sub-bands of wavelet coefficients at each level of the decomposition scheme. In fact, there are m sub-bands at each decomposition level of the 2D DWT. For the case of h levels, we have a total of (m -l)h + 1 DWT sub-bands or, for the dyadic case, a total of 3h + 1 sub-... [Pg.468]

Fig. 7 2-D WPT image wavelet coefficients for level 3 ( for the dyadic case, m = 2). Fig. 7 2-D WPT image wavelet coefficients for level 3 ( for the dyadic case, m = 2).
This remark demands great care and consideration. Through the signal-wavelet inversion formula, derived later on, we can represent the (physical) wavefunction as a superposition of dual basis functions and wavelet transform coefficients. We symbolically denote this, for the dyadic representation (Sec. 1.3.2), by 9(b) = i J2j,i Thus at a given point b, the... [Pg.204]

Wavelet Domain Seismic Correction, Fig. 3 The undecimated or stationary wavelet transform (SWT) filter banks, showing the dyadic up-sampling of the filter coefficients, i.e., the pushing of zeros in between the coefficients... [Pg.3938]


See other pages where Dyadics coefficients is mentioned: [Pg.244]    [Pg.249]    [Pg.253]    [Pg.21]    [Pg.11]    [Pg.21]    [Pg.144]    [Pg.215]    [Pg.229]    [Pg.234]    [Pg.238]    [Pg.294]    [Pg.295]    [Pg.302]    [Pg.347]    [Pg.367]    [Pg.413]    [Pg.424]    [Pg.425]    [Pg.92]    [Pg.102]    [Pg.120]    [Pg.122]    [Pg.138]    [Pg.143]    [Pg.367]    [Pg.418]    [Pg.153]    [Pg.303]    [Pg.144]    [Pg.3939]   
See also in sourсe #XX -- [ Pg.342 , Pg.343 , Pg.344 ]




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Dyadics

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