Revision as of 01:14, 13 November 2015 edit RRamakr6 (talk \| contribs) 153 edits →Disadvantage of M-D CWT ← Previous edit		Revision as of 01:15, 13 November 2015 edit undo RRamakr6 (talk \| contribs) 153 edits →Hypercomplex Wavelet Transform Next edit →
Line 66: ==Hypercomplex Wavelet Transform== The dual tree '''Hypercomplex Wavelet Transform (HWT)''' developed in <ref name=DHWT>{{cite journal\|last1=Lam Chan\|first1=Wai\|last2=Choi\|first2=Hyeokho\|last3=Baraniuk\|first3=Richard\|title=DIRECTIONAL HYPERCOMPLEX WAVELETS FOR MULTIDIMENSIONAL SIGNAL ANALYSIS AND PROCESSING\|journal=ICASSP\|date=2004\|volume=3\|pages=996–999􀀓􀀐􀀚􀀛􀀓􀀖􀀐􀀛􀀗􀀛􀀗􀀐􀀜􀀒􀀓􀀗􀀓􀀐􀀚􀀛􀀓􀀖􀀐􀀛􀀗􀀛􀀗􀀐􀀜􀀒􀀓􀀗􀀓􀀐􀀚􀀛􀀓􀀖􀀐􀀛􀀗􀀛􀀗􀀐􀀜􀀒􀀓􀀗􀀓􀀐􀀚􀀛􀀓􀀖􀀐􀀛􀀗􀀛􀀗􀀐􀀜􀀒􀀓􀀗\|url=http://citeseerx.ist.psu.edu/viewdoc/download?}}</ref> consists of standard DWT tensor and {{math\|2<sup>m -1</sup>}} wavelets obtained from combining 1-D Hilbert transform of these wavelets along the n-coordinates. In particular a 2-D HWT consists of the standard 2-D separable DWT tensor ~~as described~~ and three additional components: {{math\| H<sub>x</sub> {ψ(x)<sub>h</sub>ψ(y)<sub>h</sub>} {{=}} ψ(x)<sub>g</sub>ψ(y)<sub>h</sub> }}

Wavelet for multidimensional signals analysis: Difference between revisions