2007
DOI: 10.1142/9789812709769
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Wavelet and Wave Analysis as Applied to Materials with Micro or Nanostructure

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Cited by 34 publications
(73 citation statements)
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“…Therefore, they are planned to be used in the theory of functionally gradient materials, in which one of the authors is somewhat experienced. Also, the proposed general solutions can be used in the theory of micro-and nanocomposites, in which the other author is somewhat experienced [10,11,[17][18][19][20][21][22][23][24].…”
Section: Love Solution In the Inhomogeneous Linear Isotropic Theory Omentioning
confidence: 99%
“…Therefore, they are planned to be used in the theory of functionally gradient materials, in which one of the authors is somewhat experienced. Also, the proposed general solutions can be used in the theory of micro-and nanocomposites, in which the other author is somewhat experienced [10,11,[17][18][19][20][21][22][23][24].…”
Section: Love Solution In the Inhomogeneous Linear Isotropic Theory Omentioning
confidence: 99%
“…Therefore, the results obtained are planned to be used in the theory of functionally gradient materials in which one of the authors is somewhat experienced. Also, the general solutions proposed can be used in the theory of micro-and nanocomposites, in which the other author is somewhat experienced [7,8,[11][12][13][14][15][16][17][18].…”
Section: Remarkmentioning
confidence: 99%
“…It will be shown that wavelet [2,4,6,16,26] analysis is able to offer a more detailed and localized analysis so that we can single out symmetries and regular distribution on the wavelet coefficients [19,20,55,59]. The analysis of wavelet coefficients will show that DNA sequences and random sequences have, more or less, the same wavelet coefficients; however, if we analyze by wavelets the walks, on DNA compared with random walks, we can see that there exists some differences.…”
Section: Introductionmentioning
confidence: 99%
“…A very expedient method to analyze the influence of close base pairs (bp), by focusing on local average and jumps, is to compute the short (or window) wavelet transform [14][15][16][17][18]20]. It will be shown that wavelet [2,4,6,16,26] analysis is able to offer a more detailed and localized analysis so that we can single out symmetries and regular distribution on the wavelet coefficients [19,20,55,59].…”
Section: Introductionmentioning
confidence: 99%