Wavelet for multidimensional signals analysis: Difference between revisions

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== Multidimensional separable Discrete Wavelet Transform (DWT) ==
[[Discrete wavelet transform]] is extended to the multidimensional case is using the [[tensor product]] of well known 1-D wavelets.
In 2-D for example, the tensor product space for 2-D is decomposed into four tensor product vector spaces as [http://www.uio.no/studier/emner/matnat/math/MAT-INF2360/v12/tensorwavelet.pdf<ref>{{cite web|title=Tensor products in a wavelet setting|url=http://www.uio.no/studier/emner/matnat/math/MAT-INF2360/v12/tensorwavelet.pdf|website=University of Oslo}}</ref>]