Geodesic
Wavelet crosscorrelations of two-dimensional signals
Numerical methods and programming, Tome 7 (2006) no. 2, pp. 172-179

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The crosscorrelation estimation methods for two-dimensional multiscale signals are considered. It is shown that the wavelet decomposition allows one to estimate the correlation for each scale individually. The structure orientation for different scales can be taken into account when applying anisotropic wavelets. The efficiency and limitations of these methods are illustrated using several test examples.
Keywords: wavelet correlation, signal processing, crosscorrelation, anisotropic wavelets.
Mots-clés : wavelet decomposition 
@article{VMP_2006_7_2_a1,
     author = {I. A. Mizeva and R. A. Stepanov and P. G. Frick},
     title = {Wavelet crosscorrelations of two-dimensional signals},
     journal = {Numerical methods and programming},
     pages = {172--179},
     publisher = {mathdoc},
     volume = {7},
     number = {2},
     year = {2006},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2006_7_2_a1/}
}
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I. A. Mizeva; R. A. Stepanov; P. G. Frick. Wavelet crosscorrelations of two-dimensional signals. Numerical methods and programming, Tome 7 (2006) no. 2, pp. 172-179. http://geodesic.mathdoc.fr/item/VMP_2006_7_2_a1/