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Regions Of Interest (ROI) are identified by a multiresolution based histogram technique.
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Scenarios based on multicell networks without and with macrodiversity combining were evaluated using multiresolution based on 16QAM hierarchical modulation.
The series were analyzed using a multiresolution analysis based on the Haar-wavelet.
Related to the wavelets, a multiresolution model based on the natural scene statistics is used in [31].
In the broad-scale analysis, all of the wheat fields were identified in the imagery using a multiresolution hierarchical segmentation based on two scales.
This work transforms the MGEM and MREM algorithm to a Wavelet based Multiresolution EM (WMREM) algorithm by extending the concept of switching resolutions in both image and data spaces.
We propose a wavelet based multiresolution Hartree Fock method suitable for quasi two-dimensional extended systems.
In particular, it is interesting to note that both methods have evolved to include a multiscale (i.e., multiresolution) version, based on convolution with smoothing kernels.
A generalization of the notion of multiresolution analysis, based on the theory of spectral pairs, is considered.
Also, we can conclude that multiresolution analysis based on the wavelet packet transform a data fusion seems to be an effective method for improving the classification of labor/non-labor signals.
Multiresolution analyses based upon interpolets, interpolating scaling functions introduced by Deslauriers and Dubuc, are particularly well-suited to physical applications because they allowexactrecovery of the multiresolution representation of a function from its sample values on afiniteset of points in space.
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